In the same way that ChatGPT understands human language, a new AI model developed by Columbia computational biologists captures the language of cells to accurately predict their activities.
Researchers and clinicians at Columbia University Vagelos College of Physicians and Surgeons are studying how artificial intelligence can translate to better patient care.
With some of the world's leading neuroscientists and machine learning researchers, Columbia is seeking lessons from biology that can create AI systems as versatile and efficient as our brains.
By studying the gaze of experts as they assess images of the eye, data scientist Kaveri Thakoor has improved AI methods for glaucoma detection and developed a new way to instruct trainees.
With a genome that’s regularly broken into 225,000 pieces and reassembled, a pond protist may be the perfect creature to teach us how genomic stability—often lost in cancer—is maintained.
Columbia scientists have developed a new computational framework that can support precision cancer treatment by matching individual tumors with the drugs most likely to kill them.
Neurons mature and acquire their firing properties with the help of Rbfox genes, a family of genes linked to autism and other neurodevelopmental disorders.
Two research teams at Columbia University Irving Medical Center have received grants from the Chan Zuckerberg Initiative to help build a Human Cell Atlas.
Collaboration will investigate a system biology approach to identifying treatment options for patients with advanced gastrointestinal stromal tumors (GIST).