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.
Columbia researchers have used blockchain technology to build a system that can securely store, share, and analyze genetic and clinical data for precision medicine research.
A “loopy” discovery in bacteria is raising fundamental questions about the makeup of our own genome. And revealing a potential wellspring of material for new genetic therapies.
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).