Obstetrics & Gynecology

News and Events

Programs and providers of Obstetrics and Gynecology at Weill Cornell Medicine are often the focus of news stories and features appearing in major national media. We invite you to review some stories that typify the breakthrough accomplishments of our remarkable team and highlight the impact our care has had on patient’s lives.

Pregnancy May Reduce Long COVID Risk

pregnancy and covid

Pregnancy may offer some protection from developing Long COVID, found a new study led by Weill Cornell Medicine, University of Rochester Medical Center, University of Utah Health and Louisiana Public Health Institute. Previous research has mostly focused on non-pregnant adults affected by Long COVID—a condition lasting for months after a person recovers from a SARS-CoV-2 infection.

The study, published April 1 in Nature Communications, helps fill a critical gap about Long COVID in women infected with SARS-CoV-2 during pregnancy. “This population is so important and vulnerable, but we had no evidence about their Long COVID risk to guide their care,” said Dr. Chengxi Zang, an instructor in population health sciences at Weill Cornell Medicine, who co-led the research. “We hope this new data will help clinicians develop better Long COVID prevention and treatment strategies for pregnant women and help those most at risk.”

Awards & Honors: March 2025

trophies

Dr. Manuel Hidalgo, chief of the Division of Hematology and Medical Oncology and the Walter B. Wriston Professor of Pancreatic Cancer Research, and Dr. Ari Melnick, the Gebroe Family Professor of Hematology/Oncology and a professor of medicine, were elected as fellows of the American Association for Cancer Research (AACR) Academy. The academy’s mission is to recognize and honor scientists whose groundbreaking contributions have driven significant innovation and progress in the fight against cancer.  

AI Meets Oncology: New Model Personalizes Bladder Cancer Treatment

bladder cancer

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. The model harnesses whole-slide tumor imaging and gene expression analyses in a way that outperforms previous models using a single data type.

The study, published March 22 in npj Digital Medicine, identifies key genes and tumor characteristics that may determine treatment success. The ability to accurately anticipate how an individual will react to the standard-of-care therapy for this malignant cancer may help doctors personalize treatment and could potentially save those who respond well from undergoing bladder removal.

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