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Published on August 21, 2024
New research from the Brigham and Women’s Hospital investigators has provided new details on different levels of cardiac risks for patient who receive radiation therapy to treat non-small cell lung cancer (NSCLC). The study, published in JACC: CardioOncology, leveraged artificial intelligence (AI) to uncover how different radiation doses impact specific…
Published on March 6, 2024
Research led by The University of British Columbia shows that it is possible to diagnose long QT syndrome, an inherited heart disorder, using a combination of electrocardiography (ECG) data and artificial intelligence (AI). As reported in JAMA Cardiology, the researchers used a deep-learning based neural network to accurately diagnose long…
Published on June 27, 2024
Combining rare genetic variants for atrial fibrillation (AF) with a polygenic risk score flags up considerable risk for this common heart arrhythmia, research shows. The findings in more than 400,000 people provide an insight into the genetics underpinning AF and could aid future genetic risk stratification. They suggest both rare…
Published on July 6, 2023
Researchers at Northwestern University and George Washington (GW) University report in the journal Science Advances that they have developed a postage stamp-sized dissolving cardiac device that can monitor and treat heart disease in the days, weeks, and months following a cardiac event. The flexible device was designed to dissolve inside…
Published on June 23, 2023
Supermarket carts could help diagnose atrial fibrillation (AF), according to research presented at a scientific meeting today. A single lead electrocardiogram (ECG) sensor in cart handles was able to identify the cardiac arrhythmia in 39 shoppers previously unaware they had the condition. The findings were presented this afternoon in Scotland…
Published on March 27, 2023
What should doctors do when patients have “incidental” findings of important variants related to cardiovascular disease? This is an increasingly important question as genome screens become more common both in the clinic and on the consumer market. A new scientific statement, published today in Circulation: Genomic and Precision Medicine, aims…
Published on August 23, 2022
Researchers at the Smidt Heart Institute at Cedars-Sinai have developed a polygenic risk score (PRS) that helps predict which cardiovascular disease patients are at increased risk of sudden and/or arrhythmic death. Roopinder Sandhu, M.D., associate professor of Cardiology at the Smidt Heart Institute, and colleagues eventually hope to add this…
Published on September 28, 2021
Researchers at Johns Hopkins have developed a method of creating personalized computational models of the heart that can be used to help cardiologists and cardiac surgeons decide on the best treatment options for people with heart problems. This virtual approach, based on a combination of physiology and physics, can help…
Published on November 18, 2019
In the largest study of its kind on individuals with sudden cardiac death, researchers from Massachusetts General Hospital and the Broad Institute of MIT and Harvard performed whole-exome sequencing of 600 patients with adult-onset sudden cardiac death matched with 600 controls. They identified 5,178 genetic variants classifying 14 as pathogenic…
Published on July 20, 2016
Transgenomic, Inc. (TBIO) announced today that it has signed a commercial licensing agreement with Laboratory Corporation of America Holdings (LabCorp) for TBIO’s portfolio of intellectual property pertaining to DNA susceptibility testing for Long QT syndrome (LQTS), a primarily congenital heart rhythm disorder that is associated with potentially lethal cardiac arrhythmias.…
Published on January 19, 2023
Genetic analysis in more than a million people has identified new risk loci for atrial fibrillation (AF), in the largest such study of cardiac arrhythmias to date. A subsequently developed polygenic risk score (PRS) was able to predict an increased risk of stroke and death from cardiovascular disease among at-risk…
Published on December 21, 2021
A study led by New York University suggests genetic variants implicated in medical conditions such as abnormal heart rhythms and seizures could be at least partly responsible for a significant percentage of sudden unexplained deaths in children between the age of 1 and 18 years. The researchers found that genetic…
Published on August 23, 2021
Optoelectronic researchers say they have developed, for the first time, a biocompatible, implantable artificial intelligence (AI) platform that can classify, in real time, healthy and pathological patterns in biological signals such as heartbeats. The team, based at Technische Universität Dresden, Germany, add that it detects pathological changes even without medical…
Published on February 3, 2020
Precision health company Human Longevity announced it has published data in the journal Proceedings of the National Academy of Sciences(PNAS) demonstrating the ability of integrating whole-genome sequencing, imaging, and metabolomics to help identify adults at risk of specific health conditions. “The goal of precision medicine is to provide a path…
Published on June 14, 2019
For some time, gut microbes have been thought to metabolize and lessen the efficacy of levodopa, the primary drug treatment for Parkinson’s disease, but the species responsible have eluded detection. One such species, however, was recently identified by scientists based at Harvard University. Combing through data from the Human Microbiome…