A team of Weill Cornell Medicine investigators is working to cross-train the next generation of cancer researchers in cancer biology and the use of artificial intelligence tools for research.
A team of Weill Cornell Medicine investigators is working to cross-train the next generation of cancer researchers in cancer biology and the use of artificial intelligence tools for research.
Encompassing a Dean’s Lecture Series and Dean’s Grant Program, the initiative aims to provide the institutional infrastructure and services needed to support AI use safely and effectively among faculty, staff and students.
Encompassing a Dean’s Lecture Series and Dean’s Grant Program, the initiative aims to provide the institutional infrastructure and services needed to support AI use safely and effectively among faculty, staff and students.
Researchers at Weill Cornell Medicine have received a five-year grant from the National Institute of Diabetes and Digestive and Kidney Diseases to support TRACE, a Tool for Reproducible, Accurate Contour Estimation.
Researchers at Weill Cornell Medicine have received a five-year grant from the National Institute of Diabetes and Digestive and Kidney Diseases to support TRACE, a Tool for Reproducible, Accurate Contour Estimation.
Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego.
A new artificial intelligence-based method accurately sorts cancer patients into groups that have similar characteristics before treatment and similar outcomes after treatment, according to a study led by investigators at Weill Cornell Medicine.
Using machine learning technology, a new study has identified three distinct profiles describing social and economic factors that are associated with a higher risk of suicide.
Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more effective model for predicting how patients with muscle-invasive bladder cancer will respond to chemotherapy.
A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, according to a study led by investigators at Weill Cornell Medicine, Cornell’s Ithaca campus and Cornell Tech.
A new artificial intelligence-based system can accurately assess the chromosomal status of in vitro-fertilized (IVF) embryos using only time-lapse video images of the embryos and maternal age, according to a study from investigators at Weill Cornell Medicine.
Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology—a rapidly growing field that uses high-resolution digital images created from tissue samples to help diagnose disease and guide treatment.
