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  • Clinical Trial to Help Patients Undergoing Cancer Immunotherapy

    Yale School of Medicine’s Dennis Moledina, MD, has focused his scientific career on finding a biomarker to identify kidney inflammation and injury caused by a reaction to medications, also known as acute interstitial nephritis. In a new study, he hopes to use this biomarker to address acute interstitial nephritis caused by cancer immunotherapy.

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  • New Analytics Center for Cardiovascular Medicine

    The section of cardiovascular medicine recently established the Cardiovascular Medicine Analytics Center (CMAC). The new center provides advanced statistical support focused on the specific needs of cardiovascular medicine research.

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  • AI-Assisted Colonoscopy: New Research and Guidelines for Clinical Use

    The use of computer-aided detection (CADe) for colonoscopies has grown significantly in recent years, including at the West Haven VA. Dennis Shung, MD, PhD, is the first author of a new meta-analysis that found doctors using CADe systems found more adenomas than with standard colonoscopies. Shung is also the co-first author of new draft AGA guidelines on using AI assistance for colonoscopies.

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  • Pancreatic Cysts: A Q&A with James Farrell, MD

    James Farrell, MD, recently published a review on the current state of clinical care and research for pancreatic cysts in the New England Journal of Medicine. We spoke with him about this paper, the state of research around pancreatic cysts, and why he is inspired to learn more about this field.

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  • The First EHR-Based Machine-Learning Model for GI Bleeding

    Yale researchers are developing a machine-learning risk model that uses electronic health record (EHR) data to provide an initial patient assessment based on symptoms rather than where the bleeding is thought to be. In a new paper, they evaluate the machine learning risk model against clinical risk scores to determine the most accurate approach.

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