Dr. Iman Hajirasouliha

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.

A new artificial intelligence approach by Weill Cornell Medicine investigators can identify with a great degree of accuracy whether a 5-day-old, in vitro fertilized human embryo has a high potential to progress to a successful pregnancy. 

An artificial intelligence program developed by Weill Cornell Medicine and NewYork-Presbyterian researchers can distinguish types of cancer from images of cells with almost 100 percent accuracy, according to a new study.