An artificial intelligence method can help combat emerging COVID-19 mutations by identifying the best potential vaccines to treat the virus, according to a study published in Scientific...
Intermountain Primary Children’s Hospital has launched the HerediGene: Children’s Study, an effort to speed the development of precision medicine therapies for children with genetic...
A machine learning algorithm may be able to inform clinicians how food intake influences chronic disease risk.
A team from the Harvard T.H. School of Public Health, together with researchers from...
Using predictive analytics algorithms, a universal screening tool can accurately determine an adolescent’s suicide risk and alert providers of which patients are in need of follow-up...
A digital clinical decision support tool can help providers determine whether a child’s diarrhea is caused by bacteria or a virus and potentially cut inappropriate antibiotic use, according to a...
A team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has developed a predictive analytics model that can jointly model a patient’s breast cancer risk...
This year’s Best in KLAS report contained few surprises, with well-known vendors continuing to dominate in areas like data analytics, business intelligence, and clinical decision support.
Epic...
Google Cloud has announced the Intelligent Vaccine Impact solution, a set of data analytics technologies to help regional and local governments ensure vaccine availability and deliver successful...
Throughout the era of COVID-19, it’s become apparent that the only constant is change. The crisis continues to rapidly evolve, with updated guidelines and fluctuating case numbers,...
The University of Southern California and Amazon have established the Center for Secure and Trusted Machine Learning, a joint research effort to develop new approaches to machine learning privacy and...
Researchers from the University of Alabama at Birmingham have created a genetic database designed to help advance precision medicine treatments for COVID-19.
The database, called PAGER-CoV-2, includes...
Researchers at the Perelman School of Medicine at the University of Pennsylvania have designed a new kind of patient data registry to advance rare disease research.
In a paper published in Cell...
The Parkland Center for Clinical Innovation (PCCI) has released an app that uses machine learning and real-time data to measure COVID-19 exposure risk in Dallas County residents.
The MyPCI App will...
A deep learning tool may be able to analyze medical images and dramatically reduce pain disparities in underserved populations, a study published in Nature Medicine revealed.
In society today, pain is...
Machine learning tools identified patterns of maternal autoantibodies indicating the likelihood and severity of autism in children, according to a study published in Molecular Psychiatry.
The team...
A team from UVA Health has developed a predictive analytics tool that can determine COVID-19 patients’ risk of experiencing an adverse event over the next 12 hours.
The tool, called CoMET, uses...
Medical imaging data has always played a critical role in healthcare delivery, allowing researchers and providers to collect meaningful information for better decision-making.
Since the dawn of...
The Office of the National Coordinator for Health Information Technology (ONC) has launched the Synthetic Health Data Challenge, an effort to encourage the development of big data analytics tools using...
After a turbulent, momentous year, many rang in 2021 eager for a fresh start. In healthcare, however, some things will remain the same: namely, the significance of artificial intelligence and social...
The Henry Ford Cancer Institute at Henry Ford Health System has launched the Brigitte Harris Cancer Pavilion, a facility that will include specialty clinics for 14 different types of cancer, precision...
