How Machine Learning Enables Clinical Forecasting, Visualization
At first glance, mining clinical data to extract meaningful insights seems like a task well-suited for machine learning algorithms. The principal aim of advanced analytics tools is to evaluate multiple...Genetic Testing Could Help Clinicians Prescribe Blood Thinners
Genetic testing can help providers identify the appropriate anti-platelet drugs for patients, leading to enhanced efficacy and fewer side effects, according to a study published in JACC: Cardiovascular...COVID-19 Mobility Data Can Exclude Older and Non-White People
Smartphone-based mobility data used to respond to COVID-19 can leave out older and minority voters, which could lead jurisdictions to under-allocate important health resources to underserved...Suicide Risk Prediction Models Prove Cost-Effective in Healthcare
Statistical suicide risk prediction models could be implemented cost-effectively in healthcare organizations and may help save many lives each year, according to a study published in JAMA...Artificial Intelligence Mines EHR Data to Improve Diagnoses
An artificial intelligence algorithm is able to mine EHR data and suggest the best diagnostic approaches, leading to enhanced diagnoses and treatments, according to a study published in the Journal of...Machine Learning Technique Could Accelerate Drug Discovery
A machine learning technique can quickly estimate the binding affinities between drug candidates and their targets, potentially accelerating drug discovery and protein engineering, a study published in...FDA Data Dashboard Shows Adverse Events Related to COVID-19 Products
The FDA has launched the FDA Adverse Event Reporting System (FAERS), a public data dashboard showing human adverse event reports for drugs and therapeutic products used under emergency use...Artificial Intelligence Boosts Alzheimer’s Disease Classification
Artificial intelligence tools were able to process brain images and classify Alzheimer’s disease with improved accuracy, which could lead to the development of better treatments, according to a...Machine Learning Uses EHR Data to Predict Suicide Attempt Risk
A machine learning tool can analyze EHR data to calculate suicide attempt risk and help providers know which patients to screen in nonpsychiatric clinical settings, a study published in JAMA Network...Collecting Big Data to Eliminate Rural Health Disparities
Among the many gaps in care that pervade the medical industry, rural health disparities are some of the most prevalent. For individuals living in rural parts of the country, geographic isolation,...Initiative to Boost Minority Representation in Genetics Research
Henry Ford Cancer Institute is launching a new, community-based initiative to significantly improve minority representation in cancer genetics research and clinical trials. Supported by a $750,000...Machine Learning Limited When Applied to Clinical Data Registries
When applied to a clinical data registry, machine learning algorithms showed no significant improvement in predicting adverse outcomes after an acute myocardial infarction (AMI), a study published in...90% of Hospitals Have Artificial Intelligence Strategies in Place
Nine in ten hospitals now have an artificial intelligence strategy in place, and 75 percent of healthcare executives believe AI initiatives are more critical now because of the pandemic, according to a...How a Digital Platform Provides Genomic Data at the Point of Care
The emergence of next-generation sequencing technology has led to widespread genomic testing and the availability of genomic data, providing a way for clinicians and patients to better understand...Brain Sensor Could Accelerate Alzheimer’s Precision Medicine
A newly-developed sensor can evaluate transmissions in the brain at both the microscopic and the nanoscopic level, accelerating Alzheimer’s precision medicine, according to a study published in...Machine Learning System Uses Smart Speakers to Monitor Heartbeat
Using smart speakers and machine learning algorithms, researchers from University of Washington (UW) have developed a way to monitor both regular and irregular heartbeats without physical contact. In...Using Genomic Data to Boost Population Health During COVID-19
Genomic data has emerged as a comprehensive resource that can help researchers and providers better understand the underlying mechanisms of disease, leading to improved population health. During the...AI Method Facilitates Collaboration While Protecting Data Privacy
A new approach could help researchers build high-quality artificial intelligence algorithms while protecting patient data privacy, accelerating model development and innovation, according to a study...Artificial Intelligence Predicts Atrial Fibrillation, Stroke Risk
Artificial intelligence can analyze electrical signals from the heart to predict which patients are at high risk of atrial fibrillation (AF) and stroke, according to a study published in...Sponsored by Concord Technologies
