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.
By applying artificial intelligence to standard-of-care imaging, Columbia cancer researchers can predict how well immunotherapy will work for patients with melanoma.
A collaboration between Observational Health Data Sciences and Informatics (OHDSI) and Health Level Seven International (HL7) will improve access and sharing of health care data among researchers.
In children with certain autism mutations, the diversity and severity of symptoms are often related to the identity and properties of gene units, called exons, targeted by the mutations.
A study of more than 1 million patients has found no increased risk of COVID-19 diagnosis, hospitalization, or complications for users of two common anti-hypertensive medications.
Researchers at Columbia, UCLA, and Northeastern have begun helping the FDA in its effort to monitor the safety and effectiveness of vaccines, including COVID-19 vaccines, and other biologic products.
Coronaviruses are adept at mimicking human immune proteins called complement, which may allow the viruses to gain a foothold in our bodies and cause disease.