Non‑Invasive Sensors Could Monitor 3D‑Printed Organs in Real Time

Currently, assessing the health of 3D‑printed organs and implant engraftment requires injections, biopsies, and blood draws—in other words, damaging the body's cells. Researchers have been asking whether this invasiveness can be avoided and replaced with non‑invasive methods.

One promising approach mixes phosphorescent micro‑particles directly into the bio‑ink before printing. These microscopic sensors respond to oxygen levels and are linked to special enzymes. When an ordinary red LED shines through the skin, the particles absorb photons and instantly emit an optical signal whose parameters shift with the surrounding glucose, lactate, and nutrient concentrations.

The entire chemical diagnosis occurs in just milliseconds. For people with diabetes or kidney failure, this means a tiny implant smaller than a grain of rice can be placed under the skin and read out with a regular smartphone. In transplantation, it offers a direct path to creating and safely engrafting full‑size bioprinted hearts and kidneys, whose condition doctors could monitor in real time.

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We need to translate Russian news post into English, format: first line 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. Wrap study/journal citations and publication references in single underscores.

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

Identify important facts: dates: 31 августа (August 31). Possibly year? Not given. Could be 2024? Not specified. We'll keep "31 августа". Could wrap date in double asterisks? It's a date. Also maybe "80,000 Hours". That's an organization name. Could be considered important fact. Also "JKM". Also "Will MacAskill". Also "Better Futures". Also "EA Forum". Also "effective altruism". But we need at most 4-5 double asterisks. Choose: date (31 августа), organization 80,000 Hours, Will MacAskill, Better Futures, maybe EA Forum? But we need to be selective.

We also need to wrap study/journal citations in single underscores. There are none explicit like "Nature Aging, July 2026". The text mentions no journal citations. So we may not need underscores.

Thus we will put double asterisks around: 31 августа, 80,000 Hours, Will MacAskill, Better Futures, maybe EA Forum? That's 5. Ensure not more than 5.

Now produce headline under 90 chars: maybe "EA Forum Essay Urges Considering Welfare of Future Digital Minds". Count characters: Let's count: "EA Forum Essay Urges Considering Welfare of Future Digital Minds". That's 61? Let's count: EA(2) + space=3, Forum=5 =>8, space=9, Essay=4 =>13, space=14, Urges=5 =>19, space=20, Considering=10 =>30, space=31, Welfare=7 =>38, space=39, of=2 =>41, space=42, Future=6 =>48, space=49, Digital=7 =>56, space=57, Minds=5 =>62. Under 90.

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

We'll translate the Russian content.

Let's craft paragraphs:

Paragraph 1: On August 31, forum user JKM posted a normative essay on effective altruism priorities, proposing separate evaluation of preserving humanity, loss of human influence over the future, and aligning AI with human values. He argues that the possibility of future AI systems having subjective experience calls for taking their welfare seriously.

Paragraph 2: Effective altruism directs resources where the greatest expected benefit lies. JKM critiques how its long‑term branch prioritizes issues, splitting the analysis into preserving humanity, the risk of human disempowerment, and AI alignment. Under disempowerment he envisions a future where people survive but lose the ability to shape decisions about that future.

Paragraph 3: This reframing changes the basis on which JKM evaluates civilization’s preservation: its value depends on how well its inhabitants fare in the continued future. Since humans could maintain factory farming or create digital beings capable of suffering, he makes the welfare of future beings a separate strategic criterion.

Paragraph 4: In discussing disempowerment, JKM adds another risk: advanced AI could displace humans from work, concentrating wealth and decision‑making among system owners. He treats power concentration as a distinct harm that may persist even under formal human oversight.

Paragraph 5: For AI, JKM prefers Will MacAskill’s “value alignment” proposal: a system should explain its reasoning, revise its values, and abandon harmful goals, remaining corrigible and limited. Digital minds, in his argument, are possible future AI systems capable of experience ranging from pleasant to painful; their numbers could be enormous, and decisions made in the coming decades could set long‑term conditions for their existence.…

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Michael West Discusses Growth Hormone Supplements and Age‑Dependent IGF‑1 Risks

Michael West raised the question of whether growth hormone and IGF‑1 supplements slow, reverse, or accelerate aging, citing an observational analysis of 440,185 participants from the UK Biobank project. The study found that baseline IGF‑1 levels were linked to future disease and mortality in a U‑shaped, age‑dependent pattern, with the discussion posted on 2 сентября.

Growth hormone exerts much of its effect through IGF‑1, a protein that participates in tissue growth and development. West argues that supplements of growth hormone and IGF‑1 actually speed up the overall aging process.

The the 2021 article examined contradictory early findings: in younger cohorts high IGF‑1 was associated with better outcomes, whereas in older cohorts it was linked to worse outcomes. Researchers tested whether age changes the direction of this association by measuring IGF‑1 at baseline, relating it to later disease and death, and then repeating the comparison within age‑specific groups.

For mortality, dementia, diabetes, vascular disease, and osteoporosis the association was U‑shaped: individuals with the lowest and highest IGF‑1 levels had higher risk than those with mid‑range levels. In contrast, for cancer higher IGF‑1 overall correlated with greater incidence of new cases.

In younger age groups high IGF‑1 was tied to lower risk for several outcomes; with advancing age this protective link weakened, and high IGF‑1 levels became adverse for multiple outcomes. In experiments on old mice, IGF‑1 derived from young blood helped restore the protective blood‑brain barrier.

The UK Biobank authors measured natural IGF‑1 levels in participants and later matched them to occurring diseases and deaths, while the mouse study altered the signal in specific tissue. They interpreted the pattern as an example of antagonistic pleiotropy—a trait that supports growth and development early in life may later contribute to disease.

West discusses growth hormone supplements in relation to age, baseline IGF‑1 level, and the specific function for which the signal is intended to be enhanced.

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We need to translate Russian news post into natural English, format: 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 facts, numbers, names, citations exactly. No commentary. No source link.

We need to identify important facts: Michael West, date September 2 (maybe year unspecified). He is aging researcher. He gave hypothesis. He had childhood anecdote with father. He studied senescent cells, SASP, proteases, plasminogen activators, plasmin, metalloproteinases, elastin. He mentions cutis laxa in 16-year-old girl. He references Nature Aging comment about aging matrix. He references review about skin aging. He suggests testing hypothesis by comparing SASP composition, protease activity, matrix state, tissue properties.

We need to wrap key numbers, percentages, drug/company/gene names, dates in double asterisks. So we need to decide which are key: date "2 сентября" (September 2) maybe year not given; we can treat as date. Also "16-летней девушки" (16-year-old girl). Also maybe "SASP" is an acronym but not a number. "proteases", "plasminogen activators", "plasmin", "metalloproteinases", "elastin". Those are names but not numbers. The rule says wrap key numbers, percentages, drug/company/gene names, dates. So gene/protein names could be considered? It says drug/company/gene names. So we could wrap gene/protein names like elastin, plasmin, plasminogen activators, metalloproteinases, SASP? SASP is not a gene but a phenotype. Might be okay to wrap some.

We need at most 4-5 double asterisk wraps. So we need to be selective. Choose maybe: September 2, 16-year-old girl, elastin, plasmin, SASP. That's 5.

We also need to wrap study/journal citations in single underscores. We have: Nature Aging (comment), maybe also a review about skin aging (unspecified journal). The text mentions "Обзор о старении кожи подтверждает общий механизм: SASP может поддерживать воспаление и деградацию внеклеточного матрикса." No specific journal given. So only Nature Aging citation. Also maybe "журнал Nature Aging о стареющем матриксе". So we wrap that as Nature Aging.

We need to ensure we don't wrap whole sentences. So we need to embed the double asterisks around the selected phrases within sentences, not wrapping entire sentence.

We need to produce headline under 90 chars. Something like: "Michael West proposes senescent cells alter tissue elasticity via protease‑driven elastin breakdown". Count characters: Let's count: "Michael West proposes senescent cells alter tissue elasticity via protease‑driven elastin breakdown". Count: M(1) ... Let's approximate: It's likely under 90. We'll ensure.

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

We need to preserve all facts. Let's craft paragraphs.

Paragraph 1: Introduce Michael West's hypothesis and anecdote.

Paragraph 2: Details of his research: senescent cells, SASP, proteases, plasminogen activators, plasmin, metalloproteinases, elastin.

Paragraph 3: Connection to cutis laxa case and feedback loop per Nature Aging comment.

Paragraph 4: Review of skin aging and West's mechanism, and how to test hypothesis.

We need to embed double asterisks for selected facts.

Let's decide which facts to bold:

- September 2 (date)
- 16-year-old girl (age)
- elastin (protein)
- plasmin (enzyme)
- SASP (phenotype)

We'll wrap each with double asterisks.

Now ensure we don't wrap whole sentences: e.g., "On September 2, researcher Michael West posted..." That's okay.…

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Tahoe-100M atlas shows limited gain from complex models over simple average drug effect

On September 1 a preprint appeared describing the Tahoe-100M atlas, which measures how drugs alter gene activity in cells. The author asked whether a cancer cell line’s baseline gene‑expression profile could predict its response to a given compound.

Six models barely outperformed a simple forecast based on the drug’s average effect; the best added only 0.004 R² to that baseline for the contextual response. The atlas covers 47 cancer cell lines and 377 drugs at 5 µM.

For 107 drugs the median similarity between replicates was 0.067, with only four exceeding 0.2, indicating low repeatability that constrains predictive power for new lines.

Among five drugs with repeatability above 0.15, one model achieved an average R² +0.058 using the baseline profile, and in three of those cases it surpassed the simple average‑effect prediction. The benchmark evaluates both model quality and measurement stability, pairing repeatability with R² to separate a true contextual signal from experimental noise.

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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, 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). There's no explicit citation in the text; maybe we need to embed any reference like "TxBench-AB" etc? The rule says wrap study/journal citations and publication references in single underscores. The text mentions "TxBench-Antibody Discovery", "TxBench-PP". Those are dataset names, not citations. There's no journal citation. So we may not need underscores unless we infer something like "authors" but not needed. We'll not add underscores unless there is a citation.

We need to preserve all facts, numbers, names, dates exactly. Must not add commentary.

We need to be selective: at most 4-5 double asterisk wrapped facts. Choose key numbers: 53.0%, September 2, 100 tasks, Opus 5 and Claude Code, 152 of 287 attempts, 28 of 92 tasks with three attempts all three wrong, 82.3% of 3517 erroneous attempts, etc. Also maybe mention dates: September 2. Also mention company LatchBio. Also mention Opus 5, Claude Code, Grok 4.6. Also mention TxBench-AB, TxBench-PP. Need to limit to 4-5 double asterisks. Choose the most important: 53.0%, September 2, 100 tasks, Opus 5 in Claude Code passed 152 of 287 attempts, 82.3% of 3517 erroneous attempts due to data interpretation errors. That's 5 facts. Could also include 28 of 92 tasks all three wrong, but that would be 6. We'll stick to 5.

We must not wrap whole sentence; just wrap the fact inside double asterisks, not the whole sentence. So embed them within sentences.

We need to ensure we don't exceed 4-5 double asterisks. We'll have exactly 5.

Now produce headline: maybe "LatchBio releases TxBench-AB to test AI agents on antibody drug design". Count characters: Let's count: "LatchBio releases TxBench-AB to test AI agents on antibody drug design". Count: LatchBio(8) + space=1 =>9, releases(7)=>16, space=1=>17, TxBench-AB(10)=>27, space=1=>28, to(2)=>30, space=1=>31, test(4)=>35, space=1=>36, AI(2)=>38, space=1=>39, agents(6)=>45, space=1=>46, on(2)=>48, space=1=>49, antibody(8)=>57, space=1=>58, drug(4)=>62, space=1=>63, design(6)=>69. So 69 chars, under 90. Good.

Now blank line.

Now body paragraphs, each 2-3 sentences.

We need to embed double asterisks around selected facts.

Let's craft paragraphs.

Paragraph 1: Introduce TxBench-AB release date and description.

"On September 2, LatchBio unveiled TxBench-Antibody Discovery (TxBench‑AB), a benchmark consisting of 100 tasks in which an AI agent receives experimental data before deciding on the next step in antibody‑drug development." That's three facts: September 2, TxBench-Antibody Discovery, 100 tasks. That's three double asterisks.

Paragraph 2: Describe the evaluation results for Opus 5 + Claude Code.

"The combination of the Opus 5 model and the Claude Code environment solved 53.0 % of the evaluable attempts, successfully completing 152 out of 287 trials." That's two facts: 53.0%, 152 out of 287. That's now total 5 facts (we used 5). We must not exceed 4-5; we have exactly 5 now. Good.

Paragraph 3: Talk about task structure and other model performance.…

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Hippocampal tTIS trial launched for mild cognitive impairment

On September 2, ClinicalTrials.gov posted record NCT07799584 for a hippocampal stimulation study in mild cognitive impairment. Investigators plan to enroll 120 participants aged 60–80 years with mild cognitive impairment. Active stimulation will be compared to sham while both groups follow the same tai‑chi program.

The active intervention, called tTIS, delivers two high‑frequency currents (2000 Hz and 2005 Hz) via scalp electrodes; where the fields overlap they generate a 5 Hz rhythm in the target region. Before treatment each participant undergoes MRI, and a computer model uses the scan to position the electrodes over the left hippocampus. The sham condition keeps electrodes, timing and sensation identical but supplies current only for 30 seconds at ramp‑up and ramp‑down.

Both groups attend identical tai‑chi sessions that include attention, memory and movement‑switching tasks; the only difference is the stimulation regime. An independent statistician will assign participants to active or sham in a 1:1 ratio, and the allocation will be concealed from participants, staff, investigators and outcome assessors.

Prior work reported in Nature Neuroscience, 2023 first validated the electric‑field calculations in a post‑mortem human brain, then measured hippocampal response with fMRI in 20 healthy volunteers. In a separate sample of 21 young participants a statistical model estimated that tTIS improved correct face‑name recall by 12%.

The current trial will administer 20‑minute tTIS three times per week for eight weeks (24 sessions total). Memory, attention, dual‑task walking and MRI metrics will be assessed before and after the course, with some tests repeated at week 24. Comparing changes between the active and sham groups will isolate the specific contribution of tTIS to cognitive function.

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Lacuna tool finds hidden protein pockets for small‑molecule binding

In a preprint published on 18 August, Clayton Moor described Lacuna — an open‑source tool that searches for hidden pockets where a small molecule can enter a protein.

In its baseline mode Lacuna builds 20 nearby protein states from a single structure; on one CPU core the median time per chain is 2.6 seconds. Proteins constantly shift shape, and a static model shows only one snapshot, so pockets may open only during motion.

When tested on 925 binding maps with GNINA, the program recovered the correct ligand position in less than 5% cases when given a structure with a loop closing the pocket. Lacuna creates the 20 states using normal modes, finds cavities, merges overlapping ones, and ranks regions by how often they open, their volume, and their displacement.

Ranking changes the outcome. In CryptoBench, the old analytical rule placed the correct region in the top five in 17.8% of cases; a linear model that considers

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E. coli RNA polymerase transcribes synthetic eight‑letter DNA into RNA

the article published 2 September reports that purified E. coli RNA polymerase — the enzyme that copies DNA into RNA — read a synthetic DNA strand containing four natural and four artificial letters. It incorporated the letters P, Z, B, and S into RNA and continued elongation after a P:Z pair.

Normal DNA stores hereditary information with four letters: A, T, G, and C. In 2019 researchers created the Hachimoji system and added P, Z, B, and S to them. The new letters form pairs P:Z and B:S, preserving the double‑helix shape. The whole set was then transcribed into RNA by a modified viral T7 polymerase.

The team of Dun Wan assembled E. coli RNA polymerase with short synthetic DNA fragments and examined the eight nucleotides that make up RNA. Correct P:Z and B:S pairs were incorporated into RNA especially efficiently. For P:Z the attachment rate was about half that of G:C under the same conditions, after which the enzyme continued to synthesize long RNA.

However, the letter Z showed a specific error: under some conditions it loses a proton and can pair with G instead of P. In the Z* variant the nitro group of Z was

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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.

We need to identify citations: The article published 2 September (date). Probably a journal article. The text: "В статье, опубликованной 2 сентября , авторы изменили короткий ДНК-адрес, который распознаёт бактериофаговый фермент Bxb1." So citation: article published September 2 (year unspecified). We need to wrap date in double asterisks? It's a date, yes key fact. Also numbers: 144 variants, 49–52% recombination, 1.7 times higher, 31% insertion for CD19-CAR, 25% for OTC, 5.8 thousand nucleotides, 31 of 129 regenerated transgene-positive plants.

Gene names: HEK293T, Bxb1, attP, attB, PASSIGE, prime editor, CD19-CAR, OTC.

We need to wrap key numbers and percentages and maybe gene names? The rule: wrap few genuinely important facts — key numbers, percentages, drug/company/gene names, dates — in double asterisks. So we can wrap gene names as well but be selective: at most 4-5 per post. So we need to choose maybe 4-5 important facts: e.g., 144 variants, 49–52%, 1.7-fold, 31%, 25%, 5.8 kb, 31 of 129. That's many. Need to limit to 4-5. We can combine some? Perhaps we can wrap only the most salient: 144 variants, 49–52% recombination, 31% insertion for CD19-CAR, 25% for OTC, 5.8 kb cassette. That's 5. Also date maybe not needed if we already have 5. But date is also important. Could replace one. Let's decide: we need at most 4-5. Choose 5: 144 variants, 49–52%, 31%, 25%, 5.8 kb. Also we could include date but then exceed. Maybe we can include date as part of citation? The citation is not required to be wrapped; we wrap study/journal citations in single underscores. The date is part of the citation? The article published 2 September. Could be considered a citation reference. We could wrap the date in single underscores? No, that's for study/journal citations and publication references. So we could put September 2 (or 2 September) as a publication reference. That would be okay. Then we can still have 4-5 double asterisks for numbers.

Thus: double asterisks for: 144 variants, 49–52%, 31%, 25%, 5.8 kb. That's five.

Now single underscores for citation: maybe September 2 or published September 2. The rule: wrap study/journal citations and publication references in single underscores (e.g., Nature Aging, July 2026). So we can put September 2 as publication reference.

Now we need to format paragraphs: short paragraphs 2-3 sentences each.

Let's craft translation.

First line headline: something like "144 DNA-address variants boost large gene cassette insertion in human cells and rice". Under 90 chars.

Now blank line.

Paragraph 1: talk about article published Sep 2, authors modified short DNA address recognized by phage enzyme Bxb1. Best variants increased successful docking proportion in HEK293T line. In rice same idea with modified Bxb1 helped insert long genetic cassette at chosen genome site.

That's maybe 3 sentences.…

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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, 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 facts, numbers, names, citations exactly. No added commentary.

We need to identify important facts to bold: numbers like 30–70%, dates (2 сентября), maybe names: Masayoshi Suda, Tamara Chkonia, James Kirkland, Geromedicine, p16, p21, CXCL1, CXCL5, CXCL8, PDGF-AA, TNFα, IL-6, eNOS, etc. Also percentages like 1–1.5% body mass. Also maybe mention "obese mice". Also mention "after intervention". But limit to 4-5 bolded items.

We need to be selective: at most 4-5 per post. So choose maybe: 2 сентября, 30–70%, p16, p21, 1–1.5%? That's 5. Or maybe include drug name? There's no specific drug name given, just senolytics. Could bold "Geromedicine". But we need to keep within limit.

We also need to wrap study/journal citations in single underscores. The citation: "Масаёси Суда, Тамар Чкония и Джеймс Киркленд опубликовали в Geromedicine обзор о стареющих клетках при ожирении." So we need to underscore the journal: Geromedicine. Also maybe date? The date is part of headline? We'll bold date.

Thus we will have: Geromedicine as citation.

Now produce headline: maybe "Senolytics must be tailored to cell type and tissue, review says". Under 90 chars.

Check length: "Senolytics must be tailored to cell type and tissue, review says" length ~55.

Now blank line, then body paragraphs.

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

Let's craft paragraphs:

Paragraph 1: Introduce review, authors, date, journal.

Paragraph 2: Explain senolytics, SASP, inflammatory vs growth signals, residual senescent cells after treatment (30–70%), changes in CXCL1/5/8 and PDGF-AA.

Paragraph 3: Mechanisms: protective anti-apoptotic pathways, inflammatory SASP makes cells dependent, senolytics temporarily inhibit.

Paragraph 4: In obese mouse fat tissue, differences by cell type: p21+ progenitors and immune cells have more inflammatory signals; p16+ endothelial subtype more inflammatory with DNA damage, TNFα, IL-6.

Paragraph 5: Time after stress changes marker role: irradiated mice p21+ at 1 month, p16+ accumulate by month 4, clearance only effective late; p16+ immune cells help tolerate infection and irradiation.

Paragraph 6: Tissue, stress, time determine harm vs benefit; endothelial cells ~1–1.5% body mass but line vasculature; exposed to glucose, fatty acids; senescent endothelial SASP drives inflammation and secondary senescence; creates feedback loop with other inflamed cells.

Paragraph 7: Genetic mouse model: drug removed p16+ senescent endothelial cells; obese mice after intervention had reduced fat mass, lipid accumulation, improved glucose tolerance, increased eNOS expression.

Paragraph 8: Conclusion: senolytic design must consider cell type, tissue, stress source; targeting vascular endothelium links blood and fat tissue.

Now we need to bold key numbers/names/dates: choose 2 сентября, 30–70%, p16, p21, 1–1.5% (maybe also eNOS? but that's a gene name; could be bold but we already have 5). We'll keep those 5.

We need to ensure we don't bold whole sentences. So embed bold within sentences.

Also need to wrap journal citation in single underscores: Geromedicine.

Now produce final answer.

Check for any extra formatting: no markdown except bold and underscores. Headline line no markdown.

Make sure blank line after headline, then paragraphs separated by blank lines.

Let's craft.…

🔗 Read original →

US Launches National AI Resource Access Center for Science

The United States is establishing a national AI‑resource access center for science. On September 1, the University of California, San Diego announced that the U.S. National Science Foundation has awarded $35 million over five years to the NAIRR Operations Center.

The center will link researchers, educators, and students with computing power, data, AI models, software, and technical support. According to the NSF award notice, the agreement begins October 1 2024 and runs through September 30 2031.

In its first two and a half years, the NAIRR pilot — an NSF program that connects research and education teams with AI resources — has engaged about 900 teams and instructors across all 50 states.

NAIRR‑OC will be led by the San Diego Supercomputer Center at UC San Diego together with the Texas Advanced Computing Center at the University of Texas at Austin. Private, federal, and academic organizations will supply the computing, data, models, and software for research.

The operations center will coordinate providers and pool their resources into a single national online service. Teams can request needed resources in one place, then receive documentation, training, and technical assistance; forums and feedback channels will help the center adapt to user needs.

The center will be built on the existing national services of those two centers, transferring suitable pilot functions into long‑term infrastructure along with user‑access and support procedures. Biomedicine and public health are highlighted as areas where combining computation, data, and AI tools will support reproducible collaborative science.

The grant funds day‑to‑day operations: matching a science team’s request with distributed resources and helping them use those resources in their projects.

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Semaglutide extends lifespan of old female mice by 92 days

The study, published Nature, September 2, used 79 twenty‑month‑old female mice: 40 received a daily injection of semaglutide and 39 got saline injections as a control.
Mice treated with semaglutide lived a median of 834 days, whereas controls reached 742 days, giving an advantage of 92 days. The drug also cut food intake by 24%.

Because semaglutide suppresses appetite, the lifespan gain could stem partly from reduced calorie intake rather than a direct drug effect. Gerontologist Martin Borch Jensen noted that the paper compares the drug to normal feeding but lacks a lifespan curve for mice eating the same reduced amount, asking why there is a calorie‑restriction comparison without a matched‑intake control.

In a separate five‑month cohort the authors compared semaglutide to a 24 % calorie‑restriction regimen; mice in those two groups ate the same amount and were tested for activity, memory and glucose response. The lifelong experiment described above involved daily injections for both groups, so a no‑injection control would be needed to assess any impact of the injection procedure itself.

A future lifelong study that pairs the diet, includes a no‑injection arm, and retains the semaglutide and saline groups would allow researchers to separate the contributions of the drug, reduced food intake, and the injection procedure to the observed lifespan extension. Such a design would clarify whether the lifespan increase attributed to semaglutide is a direct pharmacological effect.

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We need to translate Russian text into 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 and citations exactly. No added commentary.

We need to identify citations: The text mentions "Разбор, опубликованный 2 сентября 2026 года". That's a publication date. Also "В августовском разборе первых испытаний с искусственными рецепторами DREADD хемогенетика уже выглядела как переход лабораторного инструмента к пациентам". So there is a review (разбор) published August? Actually "августовском разборе" (August review). Then "Разбор, опубликованный 2 сентября 2026 года". So we have a review published September 2, 2026. Possibly the citation is the review itself. We need to wrap study/journal citations and publication references in single underscores. So we should put something like August 2026 review or Review published September 2, 2026. But we need to preserve exact citation? The text says "Разбор, опубликованный 2 сентября 2026 года". So we can put that phrase in underscores: published September 2, 2026. But we need to keep the fact exactly. Probably we should wrap the date: 2 September 2026. Also maybe the August review: August 2026 review. However we need to be selective: at most 4-5 double asterisks facts. We'll need to pick key facts: drug names (clozapine, diphenhydramine), gene names (hM4Di, GRANPA), virus (AAV), promoter (hSyn), brain regions (subthalamic nuclei, anterior cingulate cortex), disease (Parkinson's, neuropathic pain, epilepsy). Also numbers: maybe dosage? Not given. So we can pick: clozapine, diphenhydramine, hM4Di, GRANPA, AAV, hSyn, subthalamic nuclei, anterior cingulate cortex, Parkinson's, neuropathic pain, epilepsy. That's many. Need only 4-5 double asterisks. So we must select only a few key facts: maybe the drug names, the gene, the virus, the date. Let's decide: double asterisks for clozapine, diphenhydramine, hM4Di, AAV, 2 September 2026. That's 5.

We must not wrap whole sentences, just those terms.

Now single underscores for study/journal citations: we have the August review and the September 2 publication. We'll wrap those in underscores: August 2026 review and published September 2, 2026 maybe. But we need to preserve exact phrasing? The text: "В августовском разборе первых испытаний с искусственными рецепторами DREADD хемогенетика уже выглядела как переход лабораторного инструмента к пациентам". So we could wrap "августовском разборе" as August review. And "Разбор, опубликованный 2 сентября 2026 года" as published September 2, 2026. We'll keep the meaning.

Now produce headline: short, under 90 chars. Something like: "Chemogenetic neuron modulation advances toward clinical use". Count characters: Let's count: "Chemogenetic neuron modulation advances toward clinical use". That's 49 characters (including spaces). Good.

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

We need to translate the Russian content into English, preserving facts.

Let's draft paragraphs.…

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Pig Kidney Xenotransplant Keeps Patient Alive for Record 271 Days

Tim Andrews, a 66-year-old from New Hampshire, lived with a transplanted pig kidney for a record 271 days. He had end-stage renal disease caused by type 2 diabetes. Before the operation his chance of receiving a human kidney within five years was only 9%, while the risk of dying or being removed from the waitlist exceeded 40%.

The breakthrough involved deep genetic adaptation of the donor organ – a miniature Yucatan pig named Wilma. Scientists introduced 69 point changes into its genome to block endogenous pig viruses and suppress human immune rejection. Previously no xenotransplant kidney had survived longer than two months, and the first similar attempt in 2024 ended after 52 days due to heart complications.

In this case the pig kidney functioned without issues for about six months before vascular damage led to failure at the ninth month, requiring a temporary return to dialysis. No new anti‑human antibodies or pig pathogens were detected in his blood, allowing a subsequent successful transplant of a human kidney from a deceased donor.

This result first demonstrates that pig organs can serve as an effective temporary “bridge” for critically ill patients at the bottom of waiting lists. Widespread use could alleviate the global donor‑organ shortage, giving patients time to await a human transplant without the severe deterioration caused by prolonged dialysis.

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First Complete Map of Male Fly Brain Reveals Full Neural Wiring

The first-ever complete map of the male fruit fly's entire brain is finally ready. It is the largest and most detailed neural blueprint in history, uniquely linking the brain and ventral nerve cord through an intact neck, allowing signals to be traced from eyes to legs.

The map enables cell‑by‑cell comparison of synaptic circuits between males and females, uncovering fundamental mechanisms of sexual dimorphism in behavior. The male CNS contains 166,700 neurons organized into 11,710 strictly identifiable cell types.

To build the model, the fly’s CNS was sliced into ultrathin layers, scanned with high‑resolution electron microscopy, and the millions of images were assembled into a 3D map using artificial intelligence and manual proof‑checking. The total human effort required for reconstruction and synapse verification equals 44 years of continuous work.

The entire dataset is now open to the global scientific community. Researchers worldwide can download and explore the connectome for further studies.

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