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.
The new facility within the Systems Biology department will promote the design and implementation of new experimental methods for the study and engineering of biological systems.
Yufeng Shen, Peter Sims, and Chaolin Zhang have designed a new team-taught course that covers both the experimental and analytical basics of next-generation sequencing.
Systems Biology Professor Saeed Tavazoie has been named a recipient of a NIH Transformative Research Award for his research on molecular interaction mapping.
Kyle Allison, recipient of the NIH Director’s Early Independence Award, is exploring how to keep common bacterial infections from becoming chronic illnesses.
Using an innovative algorithm, CUMC researchers have found that loss of a gene called KLHL9 is the driving force behind the most aggressive form of glioblastoma, the most common form of brain cancer.
New technology allows scientists to dive into the inner world of cells in everything from cancers to mummies. Learn more at lab’s open house on July 10.