Age Linked to DNA Closure in Human Muscle Fibers

In 287 human muscle biopsies, researchers linked age to the closing of DNA regions that regulate genes. They analyzed 467,126 cell nuclei, comparing gene activity (RNA) with DNA accessibility.

In three muscle fiber types, age more often closed regulatory DNA than opened it. From 68‑72% of age‑changing regions became less accessible; in type 2a fibers this corresponded to 4,061 regions.

Closed areas were often active enhancers that help turn genes on, sometimes far from the genes they regulate. Promoter regions where transcription starts were less frequently affected.

RNA measurements did not fully mirror this pattern, indicating that changes in regulatory‑region access may not be reflected in current gene expression. The closed regions contained motifs for steroid‑hormone receptors, including glucocorticoid and androgen receptors.

Authors suggest testing whether this closure reduces muscle‑fiber sensitivity to hormonal signals that support muscle maintenance and repair. The preprint was posted on August 24, 2026.

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We need to translate Russian news post into natural fluent English, format per rules.

First line: short headline under 90 chars, no markdown.

Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.

Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence.

Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026).

We need to preserve all facts, numbers, names, citations exactly.

The Russian text mentions: "19 августа редакционный обзор журнала Nature Biotechnology сопоставил четыре подхода к записи ДНК." So date: August 19 (year not given; assume 2025? Not given; we just keep "August 19". Could be 2024? We'll just keep "August 19". No year given.

Citation: Nature Biotechnology editorial review. We'll wrap that in single underscores: Nature Biotechnology.

Key numbers: "длиной примерно до 200 нуклеотидов" -> about 200 nucleotides. "молекулы длиннее 1 000 оснований" -> longer than 1,000 bases. "ретр... создавали последовательности длиной в десятки пар оснований" -> tens of base pairs. Also "быстрый рост бактерии Vibrio natriegens сокращает этот этап клонирования." maybe not a number.

We need at most 4-5 double asterisk facts. Choose: August 19 date, ~200 nucleotides, >1,000 bases, tens of base pairs (maybe "tens of base pairs"). Could also include Vibrio natriegens? Not a number. Could include "Nature Biotechnology". But that's a citation, goes in single underscores, not double asterisk.

We need to wrap study/journal citations in single underscores. So Nature Biotechnology.

Now produce headline: maybe "Nature Biotechnology highlights DNA synthesis bottleneck". Under 90 chars.

Let's craft: "Nature Biotechnology identifies long accurate DNA synthesis as key bottleneck". Count characters: Let's count: "Nature Biotechnology identifies long accurate DNA synthesis as key bottleneck". Count: N(1)... Let's just ensure <90. It's fine.

Now body paragraphs.

Paragraph 1: Summarize that editorial compared four approaches to DNA writing, explains why creating long accurate sequences slows design-to-test cycle. Include date and citation.

Paragraph 2: Talk about phosphoramidite chemistry standard, makes short oligos up to ~200 nt, errors accumulate, assembly can't fix errors.

Paragraph 3: Describe Sidewinder and MOSAIC assembly methods, their functions.

Paragraph 4: Mention cloning in Vibrio natriegens speeds up step, but bottleneck remains before cloning: need to write and assemble long DNA with acceptable accuracy.

Paragraph 5: Alternative routes: TdT enzyme (Ansa Biotechnologies) yields >1,000 bases; retrons produce tens of bp; four branches address different limits; experimental cycle tempo depends on length, accuracy, speed; for AI-designed proteins, time to experiment includes DNA manufacture and verification; for gene/cell therapy need long accurate sequences for multi-edit constructs; new methods must be compared on varying length/complexity to assess speed, accuracy, reliability.

We need to embed double asterisks for key numbers: August 19, ~200 nucleotides, >1,000 bases, tens of base pairs. Possibly also "Vibrio natriegens" not a number.

We must not wrap whole sentences; just wrap the facts.

Thus:…

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Illumina and PacBio shares jump on melanoma mRNA vaccine trial results

After the Phase III personalized mRNA therapy news, Illumina and PacBio shares rose 16% and 18% on August 23, as reported by GEN. The increase reflects expectations that tumor DNA sequencing will be needed for each patient receiving custom cancer vaccines.

On August 19, Merck and Moderna announced results from the Phase III INTerpath-001 trial involving 1,137 melanoma patients who had undergone complete tumor resection. In the combination arm, the personalized mRNA vaccine intismeran was added to pembrolizumab, improving both recurrence‑free and distant‑metastasis‑free survival versus pembrolizumab alone.

To make intismeran, a sequencer reads the tumor DNA and creates a mutation map from which up to 34 neoantigens are selected; these are encoded in mRNA that instructs cells to produce the fragments for immune detection. After the announcement, Moderna’s shares surged 177% in a single day.

By Friday’s close, Illumina was up 16% and PacBio 18%, with GEN linking the gains to the anticipated repeat sequencing step in the INTerpath program, which includes nine Phase II and III trials across several cancer types.

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Kaeberlein

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We need to translate Russian news post into natural English, format per rules.

First line: short headline under 90 chars, no markdown, no '#'.

Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.

Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.

Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026).

We must preserve all facts, numbers, names, citations exactly. No commentary.

We need to decide which facts to bold: key numbers: median lifespan 1.64 years vs 2.01 years; 76 mice vs 99 controls; date 25 August 2026; maybe 18-month mice; 9 months ovarian fibrosis; 1,392 stronger opened sites; 84 families repeats reduced methylation; maybe drug RU.521; STING; PYHIN; etc. But we can only bold at most 4-5 facts. Choose the most important: median lifespan numbers, mouse numbers, date, maybe 18-month frailty index, 1,392 opened sites, 84 families methylation. That's 6; need max 5. Let's pick: median lifespan (1.64 vs 2.01), mouse numbers (76 vs 99), date (25 August 2026), 18‑month frailty index increase, 1,392 opened chromatin sites. That's 5.

We must ensure bold formatting only around those specific numbers/phrases, not whole sentences. Eg 1.64 years vs 2.01 years; 76 mice vs 99 controls; 25 August 2026; 18‑month; 1 392 opened sites. Ensure not bold whole sentence.

Citations: need underscores for study/journal citations and publication references. The article is Nature Aging, published 25 August 2026. So we wrap Nature Aging, August 2026 maybe. The text says "опубликованной 25 августа 2026 года статье Nature Aging". So citation: Nature Aging, August 2026. Also maybe mention "мартовской работе о PEP" but that's a reference; we could underscore that as well? But we should limit underscores to citations; we can include both: Nature Aging, August 2026 and March 2026 PEP study maybe. However we need to preserve facts exactly; we can include underscores around the journal name and date. The phrase "мартовской работе о PEP" is a citation; we could underscore that as March 2026 PEP study. But we need to be careful not to overdo. Probably just one citation is enough: the main article. The instruction: "Wrap study/journal citations and publication references in single underscores". So we should wrap any such references. There's also "мартовской работе о PEP". That is a reference to a March work about PEP. We'll underscore that as March 2026 PEP study. Also maybe "Nature Aging, August 2026". That's two underscores.

We must not add any extra commentary.

Now produce headline: something like "Loss of cGAS disrupts genome packaging, activates LINE1 and shortens mouse lifespan". Count characters: Let's count: "Loss of cGAS disrupts genome packaging, activates LINE1 and shortens mouse lifespan". Count: L(1) o2 s3 s4 space5 o6 f7 space8 c9 G10 A11 S12 space13 d14 i15 s16 r17 u18 p19 t20 s21 space22 g23 e24 n25 o26 m27 e28 space29 p30 a31 c32 k33 a34 g35 i36 n37 g38 ,39 space40 a41 c42 t43 i44 v45 a46 t47 e48 s49 space50 L51 I52 N53 E54 1 55 space56 a57 n58 d59 space60 s61 h62 o63 r64 t65 e66 n67 s68 space69 m70 o71 u72 s73 e74 space75 l76 i77 f78 e79 s80 p81 a82 n83. That's 83 characters, under 90. Good.

Now blank line.

Now body paragraphs, each 2-3 sentences.

We need to incorporate the facts with bold and underscores.

Let's draft paragraphs.

Paragraph 1: Introduce study: In mice lacking cGAS, genome packaging was disrupted, LINE1 mobile elements activated, and lifespan shortened. In a Nature Aging, August 2026 article, researchers compared 76 mice with genetically knocked‑out cGAS to 99 controls; median lifespan was 1.64 years versus 2.01 years.…

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Loss of NRF2 in myelin‑making cells linked to faster cognitive decline

In a study published Nature Medicine, August 25, researchers linked loss of the protective protein NRF2 in oligodendrocytes to faster cognitive decline in humans, matching long‑term cognitive testing with post‑mortem white‑matter analysis.

Participants from a British cohort took an IQ test at age 11; from ages 70–82 they were tested roughly every three years on memory, processing speed and visuospatial ability. After death, the corpus callosum was examined; those with faster decline showed less compact myelin, thinner axons with relatively thicker sheaths, more oligodendrocytes and a lower proportion of NRF2‑positive cells.

At six months, scientists knocked out NRF2 only in mature oligodendrocytes; by twelve months, mutant males improved their performance in a four‑day water‑maze task by 27.82%, whereas controls improved by 57.75%.

In a separate group of 18‑month mice with the same knockout in the corpus callosum, axons were thinner and myelin sheaths relatively thicker. These changes mirrored the human pattern, indicating that NRF2 loss in myelin‑producing cells drives white‑matter alterations associated with age‑related cognitive slowing.

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We need to translate Russian news post into English, format per rules.

First line: short headline under 90 chars, no markdown. Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.

Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.

Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).

We need to preserve all facts, numbers, names, citations exactly. No commentary.

We need to identify important facts: numbers like 10 August (date), 26-year-old woman, 50 microliters, 24 hour interval, 4 weeks observation, 71 days prior measurements, 45 measurements, 13 of 52 measurements after injections, left eye response day 2 to day 11, right eye day 4 to day 39, etc. Also mention mitochondria injection, vitreous body, ganglion cell layer thinning, etc.

We need to limit double asterisks to at most 4-5 per post. So we need to select maybe 4-5 key facts: date of preprint (10 August), age (26-year-old woman), volume injected (50 microliters), number of measurements after injections achieving normal threshold (13 of 52), duration of response in left eye (day 2-11) and right eye (day 4-39) maybe counts as two facts but that might exceed. We need to be selective: maybe choose date, age, volume, measurement outcome (13/52), and maybe the interval (24 hours). That's 5.

We must not wrap whole sentences; only wrap the specific fact inside double asterisks, not the whole sentence.

We need to wrap study/journal citations in single underscores. There's a preprint published 10 August; we can treat that as a citation? It says "В препринте, опубликованном 10 августа , описали две процедуры". So we can wrap the date in double asterisks? Actually date is a key number; we could wrap "10 August" in double asterisks. The preprint itself is not a journal citation; it's a preprint. The instruction: wrap study/journal citations and publication references in single underscores. So we could put the preprint reference as preprint, 10 August? But we need to keep the fact exactly. The original says "В препринте, опубликованном 10 августа". We could translate as "In a preprint published on 10 August". The date is double asterisks. The preprint itself maybe we could wrap in single underscores: preprint? But we need to preserve the fact exactly; we can't add extra words like "preprint" if not originally? It says "В препринте, опубликованном 10 августа". So we can say "In a preprint published on 10 August". The phrase "preprint" is not a citation; it's just a description. The instruction: wrap study/journal citations and publication references in single underscores. Since it's a preprint, not a journal, maybe we don't need underscores. But we could still wrap "preprint" in single underscores if we want to mark it as a publication reference. However, the instruction says to wrap study/journal citations and publication references in single underscores. So we could treat the preprint as a publication reference and wrap it: preprint published on 10 August. That would satisfy both: the reference is underscored, the date is double asterisks.

We need to ensure we don't overdo underscores; only for citations. We'll have one underscore pair.

Now body: short paragraphs 2-3 sentences each.

Let's craft translation.

Paragraph 1: Doctors injected the patient's own mitochondria into her eyes to treat severe vision loss. In a preprint published on preprint 10 August, they described two procedures: fresh mitochondria were isolated from a muscle biopsy of the 26‑year‑old woman and 50 µL were injected into the vitreous of each eye, with a 24‑hour interval between eyes.…

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Chinese Team Integrates Neurointerfaces with MRI for Real‑Time Brain Mapping

Researchers in China have announced a platform that merges neurointerface technology with magnetic resonance imaging (MRI). Until now, MRI served only as an external diagnostic tool while neurointerfaces operated independently. The new approach combines signal acquisition, decoding, targeted stimulation and outcome verification within a single hardware‑software system.

The main obstacle—mutual interference between the MRI’s strong magnetic field and the neurointerface’s electronics—was overcome by built‑in field‑distortion compensation. The system records neuronal activity with millisecond precision and constructs an anatomical brain map with a spatial resolution of less than one millimeter.

As a result, the device functions both as an ultra‑sharp microscope and as a tool for precise, point‑by‑point brain correction. This integration makes human brain neuroplasticity far more quantifiable than before.

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We need to translate Russian news post into natural English, format per rules.

First line: short headline under 90 chars. No markdown, no '#'.

Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.

Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.

Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).

We have a preprint on bioRxiv dated August 24. That's a date. Also numbers: 1,531 healthy human samples, 14 tissue/cell groups, ~90% variance explained, 163 CpG sites, CpG islands entropy 23% lower, blood and colon >90% variance explained around islands, brain islands contribution up to 99%, flanking region ~1000 bp DNA calendar age explains 47-68% local dispersion. Also mention SCARLET model linking age-related DNA methylation marks in blood with hematopoietic stem cell division mode.

We need to select at most 4-5 key facts to bold. Choose: 1,531 samples, 14 tissue groups, ~90% variance explained, 163 CpG sites, 23% lower entropy in CpG islands, >90% variance explained in blood/colon, brain islands up to 99%, calendar age 47-68% in flanking region. That's many; need limit to 4-5. Choose most important: 1,531 samples, ~90% variance explained, 163 CpG sites, CpG islands entropy 23% lower, brain islands contribution up to 99% (or blood/colon >90%). Let's pick: 1,531 samples, ~90% variance explained, 163 CpG sites, CpG islands entropy 23% lower, brain islands contribution up to 99%. That's 5.

Now citations: The preprint on bioRxiv August 24. Also mention SCARLET model (maybe a study). We need to wrap study/journal citations and publication references in single underscores. So we can put bioRxiv, August 24 and maybe SCARLET model? SCARLET is a model name, not a publication. Could treat as SCARLET? Probably better to put the preprint reference: bioRxiv, August 24. Also maybe mention that it's a preprint (not peer-reviewed). Could also include bioRxiv as citation.

We need to preserve all facts, numbers, names, citations exactly. Do not add commentary.

Now produce headline: something like "Stem cell division history explains most epigenetic noise across tissues". Under 90 chars.

Let's count: "Stem cell division history explains most epigenetic noise across tissues" length: let's count characters including spaces. "Stem"(4) + space1=5, "cell"(4)=9, space=10, "division"(8)=18, space=19, "history"(7)=26, space=27, "explains"(8)=35, space=36, "most"(4)=40, space=41, "epigenetic"(10)=51, space=52, "noise"(5)=57, space=58, "across"(6)=64, space=65, "tissues"(7)=72. So 72 chars, okay.

Now blank line.

Then body paragraphs.

We need short paragraphs 2-3 sentences each.

Let's craft maybe 4 paragraphs.

Paragraph 1: Introduce study: On August 24, a preprint on bioRxiv presented analysis of 1,531 healthy human samples from 14 tissue/cell types. Authors accounted for cell-type proportions and found that estimated stem‑cell division history explained about 90% of the epigenetic noise captured by their statistical model.

We need bold numbers: 1,531, 90%. Also date maybe bold? But we limited bold to 5 items; we already used 1,531 and 90% (two). We'll also bold 163 CpG sites, 23% lower entropy, brain islands up to 99% (that's five). So we should not bold date. Good.

Paragraph 2: Describe epigenetic noise measure: They used Shannon entropy of DNA methylation at individual CpG sites; higher entropy indicates a more mixed methylated/unmethylated state. To isolate division effects, they estimated and subtracted cell‑type composition before correlating age with division history.…

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Radial funds OpenADMET grant for blind AI‑model testing in drug discovery

Radial, a life‑sciences division of the Astera Institute, awarded a grant to the OpenADMET project on 24 August. OpenADMET runs open tests of AI models that predict the properties of small molecules used to make drugs. The grant will fund code, rules and public logs for future blind‑challenge evaluations.

Drug‑development models are often benchmarked against published lab measurements, but if those data were in the training set or contain systematic bias, a high score says little about true predictive power for the next experiment. In a blind test the organizer keeps new laboratory results hidden; teams submit predictions in advance and the system later matches them to the experimental outcomes, revealing how well the model forecasts properties of unseen compounds.

OpenADMET already has an ongoing CYP Challenge, in which participants predict how 750 compounds inhibit the activity of four CYP enzymes involved in drug metabolism. In the current leaderboard predictions are scored on half of the test set; after the deadline of 3 November 2026 the evaluation will cover the full set. For each challenge the organizers must distribute data, collect predictions, verify file formats and compute metrics that compare prediction accuracy.

The grant supports open‑source code for these operations, guidance for organizers and public records of the results. OpenADMET plans to give labs and consortia ready‑to‑use code and procedures for the next blind test, and to store the outcome in a verifiable public record.

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We need to translate Russian news post into natural English, format per rules.

First line: short headline under 90 chars, no markdown, no '#'.

Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.

Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.

Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026).

We have a preprint on bioRxiv dated August 24 (presumably 2024? Not given year). The text: "24 августа авторы выложили на bioRxiv препринт об электрической стимуляции коры у 14 бодрствующих мышей." So date: August 24 (year unspecified). We'll keep as "August 24". Wrap date in double asterisks? It's a key date. Could be one of the important facts. Also numbers: 14 mice, 2,725 neurons, 53 brain areas, frequencies 8, 28, 140 Hz, 10 series of 10 seconds each, 5 µA current, 300 ms, percentages: 16%, <1%, 21–25 percentage points, 77%, 30%, <10%, 15%, 0%. Also mention Neuropixels probes.

We need to select at most 4-5 double asterisk facts. Choose maybe: 14 mice, 2,725 neurons, 8 Hz, 28 Hz, 140 Hz, 16%, 21–25 percentage points. That's 5. Ensure not whole sentence.

We need to wrap study/journal citations in single underscores. There's a bioRxiv preprint. So we can put bioRxiv, August 24 (or bioRxiv preprint, August 24). Use single underscores.

We must not add commentary. Just translation.

Now produce headline: maybe "Cortical stimulation frequency dictates neural response scale and mechanism in mice". Count characters: Let's count: "Cortical stimulation frequency dictates neural response scale and mechanism in mice". That's about 78 characters. Good.

Now blank line.

Then body paragraphs.

We need to split into short paragraphs 2-3 sentences each.

Let's craft paragraphs:

Paragraph 1: Introduce experiment: 14 awake mice, two Neuropixels probes recorded 2,725 neurons across 53 areas. Authors posted preprint on bioRxiv August 24 about electrical cortical stimulation.

Paragraph 2: Describe stimulation: sinusoidal current at 8, 28, or 140 Hz, ten 10‑second blocks each, 5 µA amplitude. During rest and running, they measured spike timing relative to wave phase.

Paragraph 3: Effects: at 8 Hz neurons synchronized spikes to a specific wave phase with little change in mean firing rate; at 140 Hz near the electrode some cells shifted firing rate briefly. The frequency determined which combination of responses was observed.

Paragraph 4: Modeling: synchrony strength predicted by electric field magnitude at 8 Hz and by local anatomical connectivity at 140 Hz; adding connectivity data improved the model by 21–25 percentage points. Authors link this to a shift from direct field effects to synaptic spread.

Paragraph 5: Local high‑frequency response: 5 µA bursts increased firing in putative inhibitory cells to 16% at 140 Hz (vs <1% at 8 Hz) within first 300 ms, while excitatory‑like cells decreased firing, interpreted as brief local inhibition.

Paragraph 6: Influence of running: running altered distributed synchrony in 77% of areas at 8 Hz, 30% at 28 Hz, and <10% at 140 Hz; local frequency shift depended on running in 15% of areas at 8 and 28 Hz and 0% at 140 Hz.

Paragraph 7: Conclusion: frequency sets mechanism and scale of response, brain state especially modulates distributed synchrony; authors propose using frequency to select desired response type and accounting for state when measuring synchrony.

Now we need to wrap important facts in double asterisks. We have selected: 14 mice, 2,725 neurons, 8 Hz, 28 Hz, 140 Hz, 16%, 21–25 percentage points. Also maybe 5 µA, 300 ms, but we limited to 4-5. We'll stick to those five.…

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We need to translate Russian news post into natural English, format per rules.

First line: short headline under 90 chars. No markdown, no '#'.

Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.

Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. At most 4-5 per post, never a whole sentence.

Wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026).

We have a citation: https://www.nature.com/articles/s42256-026-01297-7 . That's a Nature article. We need to wrap the citation in single underscores. Probably we should put something like Nature, 2026 or similar. The URL is given; we need to preserve the citation exactly? The instruction: "Wrap study/journal citations and publication references in single underscores (e.g. Nature Aging, July 2026)." So we need to identify the citation: it's a Nature article link. We can represent as Nature, 2026 maybe. But we must preserve facts exactly; the URL is a fact. Should we include the URL inside underscores? Probably we should wrap the citation text, not the URL. The URL is not a citation per se but a link. The instruction says "Wrap study/journal citations and publication references in single underscores". The given text includes a URL; we can treat that as the citation reference. We could put the URL inside underscores: https://www.nature.com/articles/s42256-026-01297-7. That would be a single underscore wrapped URL. That preserves the URL exactly. That seems okay.

Now we need to pick key numbers etc to wrap in double asterisks. The text mentions: "мгновенно", "точечная помощь", "непрерывный расчет биологических моментов суставов - точного вращательного момента и усилий", "сколько ньютон-метров крутящего момента нужно подать на сервоприводы бедер, коленей и лодыжек прямо сейчас". No explicit numbers given. There's mention of "за полчаса" (half an hour) for battery drain. Also "мощный привод не сломал оператору ногу". No percentages. There's mention of "жесткие аппаратные лимиты по скорости и силе". No numbers.

We need at most 4-5 double asterisk facts. We can include: half an hour (or 30 minutes), maybe Newton-metres? But that's a unit not a number. Could include Newton-metres as a term? Probably better to include numeric values: we have none explicit except "полчаса". Could also include "мгновенно" but that's not a number. Could include "миллисекунду" (millisecond). That's a time unit but not a number. Could treat "миллисекунду" as a fact? Might be okay to wrap "миллисекунду" in double asterisks? But it's not a number. The rule says "key numbers, percentages, drug/company/gene names, dates". So we should wrap numbers, percentages, names, dates. We have no explicit numbers except "полчаса". Could treat "полчаса" as "half an hour" which is a time duration. Could wrap half an hour. Also maybe we can include the year from the URL: 2026. The article is from 2026 (s42256-026). So we can wrap 2026 as a date. Also maybe the journal name: Nature. That's a name, could wrap Nature? But it's a journal name; could be considered a name. However we already wrap the citation in single underscores; we might not need to double asterisk the journal name. But we could still include Nature as a key name. However we need to be selective: at most 4-5 double asterisks. Let's pick: half an hour, 2026, maybe Newton-metres (though not a number). Could also include IMU (inertial measurement units) as an acronym? Not a number. Could include EMG (electromyography). Not a number.

Better to stick to numbers/dates: we have "полчаса" (half an hour) and the year 2026 from the URL. Also maybe the article's volume? Not given. Could also include "миллисекунду" but it's not a number.…

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Mol-JEPA predicts drug‑like molecule properties from structure and biology

Mol‑JEPA, a model for forecasting the properties of medicinal molecules, was released as a preprint on 23 August. The authors compiled data for 4.69 million small molecules, encompassing 14 types of information ranging from chemical structure to cellular measurements and ADMET profiles (absorption, distribution, metabolism, excretion, and toxicity).

During training, Mol‑JEPA randomly masks one data type and learns to reconstruct its compressed numerical description from the remaining modalities. This forces the model to link a molecule’s structure with its biological and pharmacological observations without distorting the underlying structure.

The approach addresses cases where a candidate binds strongly to a target protein but is rapidly cleared or toxic, and where minor structural tweaks can dramatically alter ADMET outcomes. By preserving the exact structure and training on multiple observation types, Mol‑JEPA learns a unified representation that captures diverse molecular behaviors.

Mol‑JEPA encodes each data type—atomic bond schemata, calculated chemical features, biological assay results, cellular profiles, and ADMET data—into a short numerical vector of uniform format. A shared module then receives the available vectors and predicts the representation of the masked type, thereby training the model to connect structure with function.

In property‑prediction tasks on small subsets, Mol‑JEPA achieved lower mean absolute error than competing methods, and its advantage widened as test molecules became more structurally distinct from the training set. On public temporal splits of the TabICLv2 benchmark (a tabular‑data model), Mol‑JEPA was sometimes outperformed in both MAE and head‑to‑head comparisons. Random splits can place molecules sharing a core scaffold in both training and test, leading to overly optimistic estimates; the authors note that evaluating on structurally distant compounds provides a stricter test of transferability.

An ablation study showed that adding more information improves accuracy: a version trained only on molecular graphs and ECFP4 fingerprints was outperformed by the full model using all data types, which reduced MAE by 14 % on a simple task and 13 % on a more complex one.

For drug development, linking molecular structure to accumulated behavior data is essential. Mol‑JEPA consolidates this information into a single numerical descriptor that can be used to predict the properties of new drug candidates.

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Magnetite nanodiscs trigger astrocyte‑specific calcium response in mouse hippocampus

On 19 August the authors posted a preprint describing an experiment in which mice received magnetite nanodiscs coated with an antibody that binds the astrocyte surface protein GLAST, injected into the dentate gyrus of the hippocampus.

Applying alternating magnetic fields of 25–28–50 mT produced a statistically larger intracellular calcium response in astrocytes than hematite particles of the same shape; the calcium signal was monitored by fiber photometry of a genetically encoded calcium‑sensitive reporter.

Between the second and fifth week after a single injection, magnetite discs elicited a stronger astrocyte response than the hematite control, whereas mice expressing the reporter in neurons showed no difference between the two materials.

The method builds on earlier work from 2022 that used antibody‑functionalized magnetic particles moved by strong field gradients and a 2025 open coil for weak alternating fields developed by Po‑Han Chang’s group; three Science studies have linked astrocyte calcium signals to neural network state switching, allowing causal tests.

🔗 Read original →

We need to translate Russian news post into natural English, format per rules.

First line: short headline under 90 chars, no markdown. Then blank line, then body paragraphs short (2-3 sentences each), separated by blank lines.

Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.

Wrap study/journal citations and publication references in single underscores ....

We need to preserve all facts, numbers, names, citations exactly. No added commentary.

We need to identify important facts: DARPA preparing Firefox program for 100-channel neurointerface without surgery, date: September 1 2026 meeting. Also: goal: system reads cortex signals with light through intact skull. Noninvasive coherent optical system already developed records neural signals at cortical depth in humans. Firefox to expand to multi-channel interface. Agency set path to 100 channels, spatial resolution 50 micrometers, temporal 100 microseconds. Program 36 months, three yearly phases; results checked by independent partner. Firefox divided into two related engineering tasks: dynamic scanning to steer light to several brain areas; other task: process large measurement stream: seeking architectures beyond ordinary digital data processing. Same physical difficulty as completed program N3: light, sound, electromagnetic signals scatter and attenuate passing through skin, skull, brain tissue. N3 set benchmark: work with 16 independent channels in volume of neural tissue 16 mm³ and temporal accuracy up to 50 milliseconds. Firefox builds on this problem and sets new measurement parameters.

We need to wrap key numbers/dates etc in . Choose maybe: September 1 2026, 100 channels, 50 micrometers, 100 microseconds, 36 months, three yearly phases, 16 channels, 16 mm³, 50 milliseconds. That's many; we need at most 4-5. So we need to be selective: maybe highlight date, 100 channels, spatial resolution 50 µm, temporal resolution 100 µs, program duration 36 months. That's 5. Or we could include N3 benchmark as well but limit.

We need to wrap study/journal citations in single underscores. There are none explicit citations like journal names. The text mentions "уведомлении о Firefox DARPA пишет" but no journal. So maybe none. We can leave none.

We must not wrap whole sentence. So we need to embed double asterisks around the selected facts within sentences.

We need to ensure not to exceed 4-5 double asterisk occurrences. Each occurrence is a pair .... So we need max 5 pairs.

Let's pick: September 1, 2026, 100 channels, 50 µm spatial resolution, 100 µs temporal resolution, 36‑month program. That's 5.

Make sure to keep numbers exactly as in source: "100 каналов", "50 микрометров", "100 микросекунд", "36 месяцев". Use appropriate formatting.

Now produce headline: maybe "DARPA Launches Firefox Program for 100‑Channel Non‑Invasive Neurointerface". Count chars: Let's count: DARPA (5) + space (1) =6, Launches (8) =>14, space=15, Firefox (7)=>22, space=23, Program (6)=>29, space=30, for (3)=>33, space=34, 100‑Channel (12 inc hyphen?) Let's count: "100‑Channel" characters: 100 (3) + ‑ (maybe hyphen) + Channel (7) = 11? Actually "100‑Channel": 3 + 1 + 7 =11. So total 34+11=45, space=46, Non‑Invasive (13? Non‑ (4) + Invasive (8) + hyphen? Actually "Non‑Invasive": Non‑ (4 inc hyphen?) Let's count: N o n ‑ I n v a s i v e = 4 letters + hyphen + 8 =13. So 46+13=59, space=60, Neurointerface (13?) Neurointerface: N e u r o i n t e r f a c e =12? Actually "Neurointerface": Neuro (5) + interface (8) =13. So 60+13=73. Under 90. Good.

Now blank line, then body paragraphs.

We need short paragraphs 2-3 sentences each.

Let's craft maybe 3 paragraphs.

Paragraph 1: mention meeting date and goal.

Paragraph 2: mention existing system, target specs.

Paragraph 3: program duration, phases, tasks, relation to N3.…

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We need to translate Russian news into English, format with headline line under 90 chars, then blank line, then body paragraphs short (2-3 sentences each), separated by blank lines. Wrap few genuinely important facts (key numbers, percentages, drug/company/gene names, dates) in double asterisks, at most 4-5 per post. Wrap study/journal citations and publication references in single underscores.

We need to preserve all facts, numbers, names, citations exactly. No added commentary. No source link.

We need to identify important facts: $40 млн, date 25 августа (August 25), Highland Europe fund, doubling team in Lausanne, opening office with lab in London Q4 2026, Claude campaign 1,320 mini-proteins for 15 targets, Anthropic, Twist Bioscience, first data ~21 days, quote.

We need to wrap key numbers etc in . Choose maybe: $40 million, August 25, Highland Europe, Q4 2026, 1,320 mini-proteins, 15 targets, 21 days. That's 7, but limit 4-5. Need to be selective. Perhaps choose: $40 million, August 25, Q4 2026, 1,320 mini-proteins, 21 days. That's 5. Also need company names? They are important but maybe not wrap. Could wrap Highland Europe? But we already have 5. Could replace one. Let's decide: important facts: funding amount, date, fund name, expansion timeline, Claude campaign size, first data time. That's 6. Need max 5. Could combine fund name with amount? Not. Choose: $40 million, August 25, Highland Europe, Q4 2026, 21 days. Then we omit 1,320 mini-proteins and 15 targets? But they are facts. Could wrap them in double asterisks as well but limit. Maybe we can wrap 1,320 mini-proteins and 15 targets together as one fact? Eg "1,320 mini-proteins across 15 targets". That counts as one wrapped fact. Then we have: $40 million, August 25, Highland Europe, Q4 2026, 1,320 mini-proteins across 15 targets, 21 days => 6. Need 5 max. Could drop fund name? But fund is important. Could drop date? Date is important. Could drop Q4 2026? Maybe less important than others? But expansion timeline is important. Could combine date and fund? Eg "Highland Europe led a $40 million round on August 25". That's one wrapped fact containing fund, amount, date. Then we have: Highland Europe led a $40 million round on August 25, Q4 2026, 1,320 mini-proteins across 15 targets, 21 days. That's 4. Good.

Now we need to wrap study/journal citations in single underscores. There are none explicit besides maybe "Claude campaign" not a journal. No citations. So none.

Now produce headline under 90 chars. Something like: "Adaptive Bio Secures $40 Million to Expand AI‑Driven Protein Lab". Count characters: Let's count: Adaptive(8) + space=1 =>9, Bio=3 =>12, space=13, Secures=7 =>20, space=21, $40=3 =>24, space=25, Million=7 =>32, space=33, to=2 =>35, space=36, Expand=6 =>42, space=43, AI‑Driven=?? "AI‑Driven" includes hyphen and maybe special char. Count characters: A(1) I(2) ‑ (maybe en dash) counts as 1? We'll treat as one. D(4) r(5) i(6) v(7) e(8) n(9) => total 10? Actually "AI‑Driven" length 10 inc hyphen. So add 10 =>53, space=54, Protein=6 =>60, space=61, Lab=3 =>64. So under 90.

Now body paragraphs: need short paragraphs 2-3 sentences each, separated by blank lines.

We'll produce maybe 4 paragraphs.

Paragraph 1: Adaptive Bio announced a $40 million investment round led by Highland Europe on August 25. The funds will double the team in Lausanne and open a London office with a laboratory in Q4 2026.…

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We need to translate Russian news post into natural English, format per rules.

First line: short headline under 90 chars, no markdown, no '#'.

Then blank line, then body split into short paragraphs (2-3 sentences each), separated by blank lines.

Wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks . At most 4-5 per post, never a whole sentence.

Wrap study/journal citations and publication references in single underscores _ (e.g., Nature Aging, July 2026).

We need to preserve all facts, numbers, names, citations exactly. No added commentary.

Identify important facts: "26 августа" date, "Рамез Наам", "Дарио Амодеи", "мощный ИИ может дать биологии следующие 100 лет прогресса за 5–10 лет", "четырёх признаках", maybe numbers: 100 years, 5–10 years, four criteria. Also maybe "Go" result immediate, etc. But we need at most 4-5 double asterisks. Choose key numbers: date (26 August), 100 years, 5–10 years, four criteria. That's four.

We need to wrap them in . Ensure not whole sentence.

Citations: There's mention of essay "Machines of Loving Grace" by Amodei. Also maybe mention of review of AI agents for bio labs? Not a journal citation. The essay is a reference; we can wrap in single underscores: Machines of Loving Grace. Also maybe mention of "review of AI agents for bio labs" but not a journal. We'll just underscore the essay title.

We need to preserve all facts exactly; translate.

Let's draft.

Headline: something like "Ramez Naam Links AI Speed in Biology to Organism Response". Under 90 chars.

Now body paragraphs.

Paragraph 1: On August 26, Ramez Naam discussed Dario Amodei's forecast: powerful AI could deliver biology’s next 100 years of progress in just 5–10 years. Naam says the pace depends on how quickly an experiment returns a clear result tied to a real goal.

Paragraph 2: He proposes evaluating a task by four criteria: can success be distinguished from error without mistake; is there enough data; does feedback arrive at computer speed; does the measured outcome match the true objective. In Go the result is immediate; in formal mathematics verification is similar; in programming a test shows code behavior in a given scenario, though human intent may be broader.

Paragraph 3: Fast feedback lets the next attempt be corrected right away. In aging research, cell‑based experiments are only the first step; next we must see if the effect repeats in animals and humans. Naam puts the gap as: “What we get in cells is not the same as what we find in the organism.” A cell living longer in a dish tells us only about cells; to know if an intervention extends human life we must test it on the whole organism.

Paragraph 4: Moving from cells to animals and people changes the measured outcome: a system may improve an early marker while the real question requires a whole‑organism result. In his essay Machines of Loving Grace, Amodei describes AI as a virtual biologist that plans and runs experiments, suggests how to measure outcomes, and directs lab robots or people. He also notes the unavoidable delay of experiments and equipment design.

Paragraph 5: Amodei calculates that smart experiment selection and massive parallelism can hunt for solutions while individual experiments run their course. Naam adds another question: how fast can we go from a cellular result to an answer about humans? If that transition needs long observation of an organism, it sets the learning tempo. In a survey of AI agents for bio labs the cycle looked like: model gathers literature, proposes a hypothesis, sends it to filters and experiment. Naam adds that for this cycle to be fast the experiment must return a signal linked to the desired human outcome.

Now we need to apply formatting: double asterisks around key numbers/dates etc.

Identify key facts to bold:…

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Remote-Controlled Neuroimplant Delivers Light and Drugs Via Internet

Researchers in Chicago demonstrated a neuroimplant that can be operated from anywhere via the internet. They remotely controlled a device implanted in the brain of a laboratory rat located in Daejeon, South Korea. The implant functions in real time, turning on stimulation or drug delivery with a simple web command.

The platform combines optogenetics and microfluidics, allowing neurons to be activated by light or inhibited while drugs are precisely injected. By eliminating bulky tethers and external hardware, it removes the observer effect and reduces stress on the animals.

Inside the chip sits an electrochemical micropump: applying voltage triggers electrolysis, generating gas that pushes the drug from its reservoir; cutting the current lets the gas recombine, resetting the system. Dosing and the frequency of light pulses from a micro-LED are adjusted through a web interface, and the drug cartridge attaches magnetically for easy replacement or refilling without additional surgery.

Stability and durability were validated in a four-week experiment on rats. In addiction studies, scientists remotely delivered cocaine to the Nucleus Accumbens while simultaneously suppressing neural activity with light, successfully curbing addictive behavior. Looking ahead, Korean developers aim to link such IoT implants with AI to close the loop—letting algorithms read brain states and automatically administer the appropriate drug or light pulse for conditions such as depression, neurodegenerative disorders, or epilepsy.

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Enhancement.bio replaces T1–T10 scale with S–E evidence letter for gene

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Alex Colvill: Longevity Interest Went Mainstream Before Human Therapies Arrived

On 26 August, in a new episode of the Core Memory podcast, Ashley Vance spoke with Alex Colvill, co‑founder of venture fund age1. Colvill said that interest in longevity had already become widespread even before ready‑to‑use therapies for people are available.

He believes the number of interventions that can be tested in people

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Self‑Training Bioengineered Muscle Implant Improves Aging in Mice

Scientists took mouse muscle stem cells, expanded them, formed tissue, and implanted it under the skin of aged animals. The resulting bio‑transplants (myografts) autonomously built a vascular network and began contracting spontaneously 24 hours a day, 7 days a week, without any nervous‑system or brain input.

The contracting muscle acts as a continuous biological factory, releasing myokines and signaling molecules into the bloodstream. Old mice receiving these subcutaneous “patches” showed increased lean body mass, stronger grip, better treadmill endurance, higher bone density, and reduced inflammation markers.

In the mice brains, the number of degrading neurons in the hippocampus fell, BDNF levels rose, and spatial memory improved. (Although the brain‑test sample was tiny – only 3 individuals per group.)

The myograft is not just a gym mimic but a removable biological reactor. Researchers genetically engineered the implanted cells to secrete parathyroid hormone (PTH) and growth hormone, giving a stable blood protein level without the spikes and drops seen with injections.

The experiments used Matrigel matrix, which is unsuitable for humans, so clinical translation will require a different scaffold and scaling of autologous cell production. Nevertheless, the concept of a subcutaneous muscle‑doser has already proven viable.

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