As of January 27, the global tally of SARS-CoV-2 infections has surpassed 100 million, with fatalities reaching 2 million. Remarkably, approximately 30 million confirmed cases remain untreated with ...
Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude ...
Machine learning in drug discovery, along with artificial intelligence, is transforming the pharmaceutical industry by accelerating the development of new treatments. Historically, the process of ...
In a recent medium.com blog post, Daphne Koller — an artificial intelligence researcher at the Department of Computer Science at Stanford University and, until just a few months ago, chief computing ...
Molecular crystal polymorphism does not sound like something you want in your kitchen, but you've probably had experience ...
In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of administration to humans, leading to multiple organ failure. Another example, ...
Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...
Study: Extracting medicinal chemistry intuition via preference machine learning. Image Credit: Krisana Antharith/Shutterstock.com In drug development campaigns, lead optimization entails the ...
Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...
Baritinib is a drug to treat rheumatoid arthritis. After outbreak of COVID-19, Benevolent AI Company discovered that AAK1 is a regulatory factor in the process of SARS-CoC-2 infection by generating a ...
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