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.
Faculty and students in biomedical informatics are exploring how observational health data and informatics methods could shed light on women's health issues, particularly endometriosis and PCOS.
In his new role leading the Chan Zuckerberg Biohub New York, Andrea Califano will bring together scientists from several universities to engineer the immune system to detect and treat disease.
Columbia's Andrea Califano will lead the new Chan Zuckerberg Biohub New York in its mission to harness and engineer immune cells for the early detection and eradication of human disease.
ADScreen, a speech-processing algorithm developed at Columbia Nursing, is now being tested in a clinical trial to see if it can help health care workers identify patients with Alzheimer's earlier.
From a chatbot that suggests the healthiest breakfast to an algorithm that finds dangerous drug interactions, Columbia researchers are using analytics to help transform many aspects of clinical care.
Data collected by cars on driver performance—combined with machine learning—could detect elderly drivers who will soon develop mild cognitive impairment or dementia.
A new study has found that chemicals that accumulate in the vagina, potentially originating from personal care products, may contribute to preterm birth.