Designed Radiopharmaceuticals: How Machine Learning Is Redefining Precision Cancer Therapy" reports on the integration of deep learning and generative AI in radiopharmaceutical medicine, its impact on ...

I have this idea of a communal brain.” David Baker, PhD, told me as I sat in his office at the University of Washington (UW) ...

Using computational tools, researchers from the Johns Hopkins Kimmel Cancer Center and the Johns Hopkins University School of Medicine have developed a method to predict which patients with a primary ...

Boston researchers say they have created an artificial intelligence tool that sifts through electronic health records to ...

Researchers @hopkinskimmel and @HopkinsMed develop methods to predict which #livercancer patients do best with combination ...

The Blackstone president and his wife are funding a new Penn institute that uses AI and biomarkers to intercept hereditary cancers at their earliest stages.

Using computational tools, researchers from the Johns Hopkins Kimmel Cancer Center and the Johns Hopkins University School of Medicine have developed a method to predict which patients with a primary ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

The pigeons in the study even started recognizing other health problems they weren't trained on.

New York paused new hyperscale data center permits for up to one year while it studies grid, water, ratepayer, and community impacts. If you can only read one tech story a day, this is it. We use ...

My expertise lies in financial analysis, risk management, data analysis using SQL, Python, and machine learning tools. I have worked in diverse roles, from assurance to financial analysis and trade ...