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Institution-specific machine learning model can predict cardiac patient's mortality risk prior to surgery

A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a significant performance advantage over current population-derived models. ....

Aaronj Weiss , Arjun Yadaw , Ravi Iyengar , Danielle Ellis , Gaurav Pandey , National Institutes Of Health , Society Of Thoracic Surgeons , Genomic Sciences At Icahn Mount Sinai , National Center , Icahn School Of Medicine At Mount Sinai , Mount Sinai Institute For Systems Biomedicine , Lewis Rosenstiel Professor Of Pharmacological Sciences , Mount Sinai , Cardiovascular Surgery , Senior Author , Lewis Rosenstiel Professor , Pharmacological Sciences , Icahn School , Mount Sinai Institute , Thoracic Surgeons , Mount Sinai Hospital , Associate Professor , Genomic Sciences , Icahn Mount Sinai , Adjunct Assistant Professor , Senior Data Scientist ,

Transitioning to Precision Medicine Individualizes Patient Care

Precision medicine is rooted in the reality that the way patients respond to treatment is heavily affected by their individual genetic variability, their complex biology, and external factors. ....

Ximena Bonilla , Christian Olsen , Anja Irmisch , White House Office Of Science , Drug Administration , Order On Advancing National Biotechnology , National Center , Biomarker Qualification Program Educational Module Series , Human Services , National Institute Of Health , Us Department Of Health , Therapy Development , How Biomarkers Can Improve The Drug Development , Tumor Profiler , Harvard Business Review , Predictive Analysis , White House , President Biden , Advancing National Biotechnology , Multi Omic Data , Personal Multi Ome , Associate Vice President , Industry Principal , Accessed April , Patient Focused Therapy , Advancing Translational Science ,

Anxiety, depression may play a role in long COVID

In trying to untangle the mysteries of long COVID, researchers have found anxiety and depression may play a role for some of those with the lingering condition. ....

United States , Los Angeles , Neil Wenger , David Geffen School Of Medicine , University Of California , Us Centers For Disease , National Center , David Geffen School , Advancing Translational Science , National Institutes , Disease Control ,

UCLA Study Suggests Link Between Self-Perceived Cognition Deficits and Long COVID Symptoms

UCLA Study Suggests Link Between Self-Perceived Cognition Deficits and Long COVID Symptoms
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Yash Motwani , Myung Sim , Neil Wenger , Nisha Viswanathan , Sun Yoo , Teresa Liu , Translational Science Institute , National Center , David Geffen School Of Medicine , David Geffen School , Advancing Translational Science , National Institutes ,

UCLA researchers find possible link between s

People who perceived that they had cognitive difficulties such as memory problems during COVID were more likely to have lingering physical manifestations of the disease than people who did not report cognitive issues. ....

Myung Sim , Neil Wenger , Yash Motwani , Sun Yoo , Teresa Liu , Nisha Viswanathan , Their Association With , Translational Science Institute , Method Of Research , National Center , David Geffen School Of Medicine , David Geffen School , Advancing Translational Science , National Institutes , Cognitive Deficits , Patients With Symptomatic , Their Association With Post ,