A newly available drug may improve the effectiveness of immunotherapy in hard-to-treat cancers of the upper urinary tract, suggests a study published by Weill Cornell Medicine and NewYork-Presbyterian investigators.
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.
Weill Cornell Medicine has been awarded a five-year, $9 million Program Project Grant (P01) from the National Cancer Institute (NCI) to better understand how and why patients with an aggressive and incurable form of lymphoma initially respond to treatment, only to relapse over time.
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.
The complex life cycle of the parasite that causes malaria has made it a difficult foe to beat. But new insights on how the parasite is transmitted from humans to the mosquitoes that spread malaria may lead to new ways to control this deadly disease.
Dr. Olivier Elemento, a renowned computational biologist and leader in the field of computational genomics and biomedicine, has been named director of the Caryl and Israel Englander Institute for Precision Medicine at Weill Cornell Medicine.
Researchers at Weill Cornell Medicine have discovered an innovative method to make an unlimited supply of healthy blood cells from the readily available cells that line blood vessels.
Seven winners have been selected for the third round of the Daedalus Fund for Innovation awards, an innovative Weill Cornell Medicine program that helps advance promising applied and translational research projects and emerging technologies that have commercial potential.
Computational biologist Dr. Olivier Elemento was just 6 years old when he received his first microscope and computer. Now he is harnessing the power of both to spot patterns and trends in cancer that could help doctors treat the disease -- and perhaps even find a cure.
