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.
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.
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.