Dr. Ekta Khurana, an associate professor of systems and computational biomedicine at Weill Cornell Medicine, has received a two-year, $1 million Challenge Award from the Prostate Cancer Foundation to work with researchers from Weill Cornell Medicine and Memorial Sloan Kettering Cancer Center on an AI-based method for early detection of treatment-resistant prostate tumor subtypes.

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.

An artificial intelligence algorithm can determine non-invasively, with about 70 percent accuracy, if an in vitro fertilized embryo has a normal or abnormal number of chromosomes.

Two multi-institutional teams led by Weill Cornell Medicine scientists have been awarded grant support from the Starr Cancer Consortium. Both grants will fund work applying new technologies to develop more detailed knowledge of tumor biology, with one team focusing on Hodgkin lymphoma and the other on the purity of tumor samples on pathology slides.

In an IVF breakthrough, artificial intelligence helps identify the embryos most likely to lead to successful pregnancies.