AI diagnoses heart arrhythmia.
Doctors at Kobe University Hospital (Japan) have developed an AI that combines data from ECG and X-ray results to predict the locations of defects in the heart which cause an irregular heartbeat. Combining the two completely different test data types lead to improved diagnostic accuracy of the AI.
Their work can be found in Scientific Reports: https://www.nature.com/articles/s41598-021-87631-y
#sciencenews #AI #healthcare #medicine
Doctors at Kobe University Hospital (Japan) have developed an AI that combines data from ECG and X-ray results to predict the locations of defects in the heart which cause an irregular heartbeat. Combining the two completely different test data types lead to improved diagnostic accuracy of the AI.
Their work can be found in Scientific Reports: https://www.nature.com/articles/s41598-021-87631-y
#sciencenews #AI #healthcare #medicine
Nature
Accessory pathway analysis using a multimodal deep learning model
Scientific Reports - Accessory pathway analysis using a multimodal deep learning model
Unremarkable AI.
Carnegie Mellon University researchers say clinical AI tools should be designed to take tough life-and-death clinical decisions out of the hands of physicians. They suggest that AI might guide decisions best if it were seamlessly embedded in the decision-making routines already used by the clinical team, providing predictions and evaluations on the go.
Read more about their ideas in Proceedings of the CHI Conference on Human Factors in Computing Systems: https://doi.org/10.1145/3290605.3300468
#sciencenews #AI #healthcare #medicine
Carnegie Mellon University researchers say clinical AI tools should be designed to take tough life-and-death clinical decisions out of the hands of physicians. They suggest that AI might guide decisions best if it were seamlessly embedded in the decision-making routines already used by the clinical team, providing predictions and evaluations on the go.
Read more about their ideas in Proceedings of the CHI Conference on Human Factors in Computing Systems: https://doi.org/10.1145/3290605.3300468
#sciencenews #AI #healthcare #medicine
AI fighting breast cancer.
According to the WHO, breast cancer has recently overtaken lung cancer to become the most common cancer globally. The BreastPathQ Challenge was launched at the SPIE Medical Imaging 2019 conference to support the development of computer-aided diagnosis for assessing breast cancer pathology. 39 teams from 12 countries participated, with 100 new algorithms developed.
The exciting results and ideas produced by the challenge have recently been reported in the Journal of Medical Imaging: https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-8/issue-03/034501/SPIE-AAPM-NCI-BreastPathQ-challenge--an-image-analysis-challenge/10.1117/1.JMI.8.3.034501.full?SSO=1
#sciencenews #AI #ML #healthcare #medicine
According to the WHO, breast cancer has recently overtaken lung cancer to become the most common cancer globally. The BreastPathQ Challenge was launched at the SPIE Medical Imaging 2019 conference to support the development of computer-aided diagnosis for assessing breast cancer pathology. 39 teams from 12 countries participated, with 100 new algorithms developed.
The exciting results and ideas produced by the challenge have recently been reported in the Journal of Medical Imaging: https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-8/issue-03/034501/SPIE-AAPM-NCI-BreastPathQ-challenge--an-image-analysis-challenge/10.1117/1.JMI.8.3.034501.full?SSO=1
#sciencenews #AI #ML #healthcare #medicine
www.spiedigitallibrary.org
SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer…
The <i>Journal of Medical Imaging</i> allows for the peer-reviewed communication and archiving of fundamental and translational research, as well as applications, focused on medical imaging, a field that continues to benefit from technological improvements…
Deep Neural Networks in medical imaging.
Scientists at the University of California are investigating how neural networks can be used to efficiently and accurately analyse associations between gene expression and features of biological tissues. They consider how the neural networks could lead to improvements in lung cancer diagnosis.
The results are published in the Journal of Medical Imaging: https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-8/issue-03/031906/Using-deep-neural-networks-and-interpretability-methods-to-identify-gene/10.1117/1.JMI.8.3.031906.full
#sciencenews #AI #ML #healthcare #medicine
Scientists at the University of California are investigating how neural networks can be used to efficiently and accurately analyse associations between gene expression and features of biological tissues. They consider how the neural networks could lead to improvements in lung cancer diagnosis.
The results are published in the Journal of Medical Imaging: https://www.spiedigitallibrary.org/journals/journal-of-medical-imaging/volume-8/issue-03/031906/Using-deep-neural-networks-and-interpretability-methods-to-identify-gene/10.1117/1.JMI.8.3.031906.full
#sciencenews #AI #ML #healthcare #medicine
www.spiedigitallibrary.org
Using deep neural networks and interpretability methods to identify gene expression patterns that predict radiomic features and…
The <i>Journal of Medical Imaging</i> allows for the peer-reviewed communication and archiving of fundamental and translational research, as well as applications, focused on medical imaging, a field that continues to benefit from technological improvements…
3D printed diagnostic tools.
Lateral flow testing is widely used for pregnancy tests and more recently for mass coronavirus testing. A team working at KU Leuven has developed a new 3D printing technique using porous polymers to produce advanced diagnostic tests quickly, cheaply, and easily.
The method can be seen in action at: https://www.youtube.com/watch?v=qRVa7X_LnV4
#sciencenews #healthcare #medicine #polymers
Lateral flow testing is widely used for pregnancy tests and more recently for mass coronavirus testing. A team working at KU Leuven has developed a new 3D printing technique using porous polymers to produce advanced diagnostic tests quickly, cheaply, and easily.
The method can be seen in action at: https://www.youtube.com/watch?v=qRVa7X_LnV4
#sciencenews #healthcare #medicine #polymers
YouTube
3D printing technique for lateral flow diagnostics
A 3D printing technique developed at the Ameloot Group (KU Leuven) promises to bring the kind of rapid diagnosis seen with lateral flow tests for Covid-19 to other medical conditions. The goal is to produce a wide range of sophisticated diagnostic tests that…
A health boost from nature.
Access to nature increases city-dwellers’ physical activity and overall health. Researchers from Stanford University explain that parks, lakes, trees and other urban green spaces are a necessary part of creating more healthy, equitable, and sustainable cities.
Learn more from their article in PNAS: https://www.pnas.org/content/118/22/e2018472118
#sciencenews #medicine #healthcare #health
Access to nature increases city-dwellers’ physical activity and overall health. Researchers from Stanford University explain that parks, lakes, trees and other urban green spaces are a necessary part of creating more healthy, equitable, and sustainable cities.
Learn more from their article in PNAS: https://www.pnas.org/content/118/22/e2018472118
#sciencenews #medicine #healthcare #health
PNAS
An ecosystem service perspective on urban nature, physical activity, and health
Nature underpins human well-being in critical ways, especially in health. Nature provides pollination of nutritious crops, purification of drinking water, protection from floods, and climate security, among other well-studied health benefits. A crucial, yet…
Ending childhood respiratory infections.
Human parainfluenza viruses are the leading cause of childhood respiratory infections. There are currently no available vaccines for the most prevalent of these viruses. Research from the University of Wisconsin shows that engineering suitable short chunks of protein can prevent the attachment of human parainfluenza viruses to cells.
The work has recently been published in JACS: https://pubs.acs.org/doi/10.1021/jacs.1c01565
#sciencenews #healthcare #health #medicine #vaccine
Human parainfluenza viruses are the leading cause of childhood respiratory infections. There are currently no available vaccines for the most prevalent of these viruses. Research from the University of Wisconsin shows that engineering suitable short chunks of protein can prevent the attachment of human parainfluenza viruses to cells.
The work has recently been published in JACS: https://pubs.acs.org/doi/10.1021/jacs.1c01565
#sciencenews #healthcare #health #medicine #vaccine
ACS Publications
Engineering Protease-Resistant Peptides to Inhibit Human Parainfluenza Viral Respiratory Infection
The lower respiratory tract infections affecting children worldwide are in large part caused by the parainfluenza viruses (HPIVs), particularly HPIV3, along with human metapneumovirus and respiratory syncytial virus, enveloped negative-strand RNA viruses.…
Diagnosing prostate cancer with light.
Prostate cancer is the second most common cancer globally in men, but rapid and accurate screening remains a challenge. Researchers from Chernivtsi National University & University of Oulu demonstrate a diagnostic method using polarized light that can quickly analyze prostate tissue samples for signs of cancer.
The results are published in Scientific Reports: https://www.nature.com/articles/s41598-021-83986-4
#sciencenews #medicine #healthcare #health #light
Prostate cancer is the second most common cancer globally in men, but rapid and accurate screening remains a challenge. Researchers from Chernivtsi National University & University of Oulu demonstrate a diagnostic method using polarized light that can quickly analyze prostate tissue samples for signs of cancer.
The results are published in Scientific Reports: https://www.nature.com/articles/s41598-021-83986-4
#sciencenews #medicine #healthcare #health #light
Nature
3D Mueller matrix mapping of layered distributions of depolarisation degree for analysis of prostate adenoma and carcinoma diffuse…
Scientific Reports - <ArticleTitle Language="En" OutputMedium="All" xml:lang="en">3D Mueller matrix mapping of layered...
Clearing the air.
Fossil fuel reliance has pushed air pollution to record levels. Nitrogen oxides are particularly harmful pollutants for human health. Gwangju Institute of Science and Technology researchers hope to reduce pollution by using novel catalysts to selectively convert nitrogen oxides to hydroxylamine which can be further applied as an alternate energy source.
The results can be viewed in Nature Communications: https://www.nature.com/articles/s41467-021-22147-7
#sciencenews #environment #healthcare
Fossil fuel reliance has pushed air pollution to record levels. Nitrogen oxides are particularly harmful pollutants for human health. Gwangju Institute of Science and Technology researchers hope to reduce pollution by using novel catalysts to selectively convert nitrogen oxides to hydroxylamine which can be further applied as an alternate energy source.
The results can be viewed in Nature Communications: https://www.nature.com/articles/s41467-021-22147-7
#sciencenews #environment #healthcare
Nature
Selective electrochemical reduction of nitric oxide to hydroxylamine by atomically dispersed iron catalyst
Nature Communications - Electrocatalytic conversion of nitrogen oxides to value-added chemicals is a promising strategy for mitigating the imbalance in the global nitrogen cycle. Here, the authors...
Mefloquine – fighting coronavirus.
Scientists from Tokyo University of Science have identified the anti-malarial drug mefloquine as being effective against SARS-CoV-2. They show that the drug effectively limits the entry of the virus into the cells.
Learn about their insight in Frontiers in Microbiology: https://doi.org/10.3389/fmicb.2021.651403
#sciencenews #coronavirus #healthcare #medicine
Scientists from Tokyo University of Science have identified the anti-malarial drug mefloquine as being effective against SARS-CoV-2. They show that the drug effectively limits the entry of the virus into the cells.
Learn about their insight in Frontiers in Microbiology: https://doi.org/10.3389/fmicb.2021.651403
#sciencenews #coronavirus #healthcare #medicine
Frontiers
Mefloquine, a Potent Anti-severe Acute Respiratory Syndrome-Related Coronavirus 2 (SARS-CoV-2) Drug as an Entry Inhibitor in vitro
Coronavirus disease 2019 (COVID-19) has caused serious public health, social, and economic damage worldwide and effective drugs that prevent or cure COVID-19 are urgently needed. Approved drugs including Hydroxychloroquine, Remdesivir or Interferon were reported…