news, journals and articles from all over the world.
What about the kidneys make them a hotspot for COVID-19’s cytokine storm? A research team says it’s the presence of a protein found on specialized renal transport cells.
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UC San Diego researchers use experimental artificial intelligence system called DrugCell to predict the best approach to treating cancer.
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Lawrence Livermore National Laboratory (LLNL) has installed a state-of-the-art artificial intelligence (AI) accelerator from SambaNova Systems, the National Nuclear Security Administration (NNSA) announced today, allowing researchers to more effectively combine AI and machine learning (ML) with complex scientific workloads.
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The development of a new method to make non-volatile computer memory may have unlocked a problem that has been holding back machine learning and has the potential to revolutionize technologies like voice recognition, image processing and autonomous driving.
Read moreAn electronic nudge to clinicians—triggered by an algorithm that used machine learning methods to flag patients with cancer who would most benefit from a conversation around end-of-life goals—tripled the rate of those discussions.
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Researchers nationwide are building the software and applications that will run on some the world’s fastest supercomputers. Among them are members of DOE’s Exascale Computing Project who recently published a paper highlighting their progress so far.
Read moreIn an article published in Nature on October 14, 2020, scientists at Princess Margaret Cancer Centre, University of Toronto, Stanford University, Johns Hopkins, Harvard School of Public Health, Massachusetts Institute of Technology, and others, challenge scientific journals to hold computational researchers to higher standards of transparency, and call for their colleagues to share their code, models and computational environments in publications.
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The range of AI technologies available for dealing with brain disease is growing fast, and exciting new methods are being applied to brain problems as computer scientists gain a deeper understanding of the capabilities of advanced algorithms. In APL Bioengineering, Italian researchers conducted a systematic literature review to understand the state of the art in the use of AI for brain disease. Their qualitative review sheds light on the most interesting corners of AI development.
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Researchers from the Morgridge Institute for Research, the University of Wisconsin-Madison, and Albany Medical College have identified more than 200 molecular features that strongly correlate with COVID-19 severity, offering insight into potential treatment options for those with advanced disease.
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The annual Argonne Training Program on Extreme-Scale Computing went virtual this year, providing two weeks of instruction to ready attendees for science in the exascale era.
Read morePrecision medicine is a rapidly growing approach to health care that focuses on finding treatments and interventions that work for people based on their genetic makeup, rather than their symptoms.
Zeeshan Ahmed, director of the new Ahmed Lab at Rutgers Institute for Health, Health Care Policy and Aging Research, discusses the future of precision medicine, what needs to be done to successfully analyze the data necessary to develop individualized treatments and the role genetics play during the COVID-19 pandemic.
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Australia’s position as one of the world leaders in artificial intelligence (AI) and machine learning will be further boosted thanks to $20 million towards a new national centre, to be based at the University of Adelaide.
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