A version of the MESA heart disease risk score that did not include race predicted heart disease risk just as well as the version that includes race, according to a preliminary study presented at the […]
Artificial intelligence (AI) is revolutionizing health care, from diagnostics to patient care, but regulation is struggling to keep pace, according to a new paper from City St George’s, University of London.This post was originally published […]
Research scientist Yosuke Tanigawa and Professor Manolis Kellis at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel methodology in human genetics to address an often-overlooked problem: how to handle clinical measurements […]
Investigators at Mass General Brigham have developed an AI-based tool to sift through electronic health records to help clinicians identify cases of long COVID, an often mysterious condition that can encompass a litany of enduring […]
Researchers at Kumamoto University have made a significant breakthrough in the fight against COVID-19 with the development of “Intelli-OVI,” a cutting-edge diagnostic tool capable of rapidly identifying emerging variants of the SARS-CoV-2 virus.This post was […]
Geneticists looking inside the nuclear genome for mutations that contribute to disease have long relied on a principal known as constraint modeling, which allows researchers to assess the degree of selective pressure that leads to […]
From 2008 to 2020, there was an increase in the percentage of U.S. radiologists involved in resident teaching, but teaching radiologists’ total workload involving trainees has decreased, according to a study published online Oct. 22 […]
Researchers are releasing the flagship dataset from an ambitious study of biomarkers and environmental factors that might influence the development of type 2 diabetes. Because the study participants include people with no diabetes and others […]
A research team from Memorial Sloan Kettering Cancer Center (MSK) is demonstrating that cancer outcome predictions can be improved by breaking down hospitals’ traditional data silos and analyzing the information—including physicians’ clinical notes—with the help […]
Artificial intelligence (AI)-based risk classification improves prognostication with localized prostate cancer, according to a study published online Oct. 24 in JCO Precision Oncology.This post was originally published on this site
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