Duke Health and software company nference announced a collaboration aimed at accelerating research and improving patient care by leveraging the company’s advanced analytics platform.
According...
A study published this month in BMC Medical Research Methodology outlines how to develop high-quality machine learning (ML)-based models for use in clinical research and medicine through the use of...
The University of Maryland Strategic Partnership: MPowering the State (MPower), a research and innovation collaboration between the University of Maryland, Baltimore (UMB) and the University of...
Cleveland Clinic and IBM announced that the deployment of the first healthcare quantum computer in the US has begun on the health system’s main campus, a key component of the two...
The Icahn School of Medicine at Mount Sinai has received a $55.5 million Clinical and Translational Science Award (CTSA) from the National Institutes of Health (NIH) National Center for Advancing...
The National Institutes of Health (NIH) is investing $130 million over the next four years through the NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program to advance the use...
The University of California, Irvine (UCI) has partnered with artificial intelligence (AI) software company Melax Tech to enable UCI researchers to analyze EHR data using natural language processing...
Washington University School of Medicine in St. Louis (WashU Medicine) and BJC HealthCare have announced a collaboration with real-world health data company CuriMeta to advance research aimed at...
In a new systematic review published in the Journal of Medical Internet Research, researchers concluded that randomized controlled trials (RCTs) evaluating artificial intelligence (AI)-assisted tools...
Researchers at Rutgers have concluded that artificial intelligence (AI)-based approaches to precision medicine are limited or slowed by various structural issues, such as disorganization, data...
A research team from Clemson University has created an open-source model designed to help medical researchers build scalable prediction models that can represent extensive cellular interactions and...
Researchers at Harvard and the University of Washington School of Medicine (UW Medicine) have developed an artificial intelligence (AI) software that uses deep learning to design proteins with various...
The Indiana Training Program in Public and Population Health Informatics, a collaboration between Indiana University (IU) and the Regenstrief Institute, has been awarded a five-year continuation of...
Rutgers Center for State Health Policy has launched the New Jersey Integrated Population Health Data (iPHD) Project to help address some of the state’s major population health issues, such as the...
A new report from KLAS Research found that healthcare organizations reported better transaction pattern identification, drug diversion detection, and overall efficiency when utilizing drug detection...
Adherence to National Comprehensive Cancer Network (NCCN) guidelines during treatment correlates to lower total costs of care (TCOC) for breast and colon cancer patients, according to findings...
In a letter to the chair and vice-chair of the National Artificial Intelligence Initiative Office (NAIIO), healthcare and technology stakeholders asked that healthcare be included in the scope of its...
Recognizing the harm that unbalanced data can bring to the creation of machine-learning models, a study shows how Massachusetts Institute of Technology (MIT) researchers attempted to increase fairness...
Researchers from Johns Hopkins Medicine and NORC at the University of Chicago found that the Agency for Healthcare Research and Quality's (AHRQ) Safety Program for Improving Antibiotic Use is...
Population health analysis is closely intertwined with value-based care. Not only can population health analytics help identify patient care gaps, but strategies can identify patient-wide interventions...
