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How do you analyze millions of papers in the life sciences and physical sciences that have been published in the past 25 years? Assistant Professor Jishnu Das and PhD student Swapnil Keshari are harnessing the power of machine learning to address this question.
PhD candidate Sophia Hu delivered a talk at the 23rd International Conference on Systems Biology (ICSB), which brought together outstanding systems biology researchers from around the world.
What if there were a way to improve clinical testing for changes in our genome (variants) that cause increased risk of breast cancer? A research team led by Frederick (“Fritz”) Roth answers this question in an article in the American Journal of Human Genetics.
PhD candidate Emma Flynn recently took to the stage at the Machine Learning in Drug Discovery Symposium in Cambridge, Massachusetts, where she delivered a lightning talk.
Associate Professor David Koes and PhD candidate Ian Dunn identified promising early-stage molecules that could lead to new treatments for coronaviruses in the second CACHE Challenge.
Assistant Professor Yu-Chih Chen is harnessing the power of computational algorithms to improve cancer research.
Associate Professor John Barton has developed a computational method to enhance natural selection research.
For the first time, scientists can glimpse the priming stroke of the dynein motor protein with atomic-scale detail and real-time resolution.
Please join us in congratulating Dr. Nate Lord on receiving the five-year, $1.5 million New Innovator Award!
Dr. Anne-Ruxandra Carvunis & her Co-PIs on receiving one of six 2023 NIH Director’s Transformative Research Awards