Researchers at Thomas Jefferson University have developed a predictive analytics tool that can forecast the risk of post-surgical complications, helping providers to deliver more proactive, preventive...
Genetic data can help improve prostate cancer risk prediction in diverse racial and ethnic groups, leading to more targeted, personalized screenings, according to a study published in Nature...
Of the many truths brought to light during the pandemic, the importance of providers’ voices is among the most consequential.
The experiences and daily operations of frontline healthcare workers...
Researchers at UPMC and the University of Pittsburgh School of Medicine have leveraged machine learning to develop a tool that predicts mortality for patients facing transfer between hospitals in order...
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 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...
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...
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...
To improve breast cancer risk assessment, providers should perform genetic testing in women who aren’t at high risk of developing the disease, according to a study published in The New England...
A gene variant found in approximately one in 300 people is a significant genetic risk factor for stroke in older adults, according to a study conducted by researchers at Geisinger.
Cerebral small...
Analyzing genomic data from diverse populations could improve prostate cancer risk scores and enable early detection of the disease, a study published in Nature Genetics revealed.
Prostate cancer is...
Using genetic data from diverse populations could help researchers develop better risk prediction scores for inflammatory bowel diseases, such as Crohn’s disease and ulcerative colitis, according...
Researchers from Johns Hopkins Bloomberg School of Public Health used big data analytics to develop a COVID-19 mortality risk calculator, a tool that could inform public health policies around...
Researchers at The Ohio State University Wexner Medical Center are creating a precision medicine method to determine patients’ genetic risk of developing glaucoma, with the goal of reducing...
Predictive analytics tools could help providers identify infants at risk of developing neonatal abstinence syndrome (NAS) after being exposed to opioids during pregnancy, potentially reducing hospital...
A simple machine learning approach predicted cirrhosis mortality risk as accurately as less interpretable algorithms, and also outperformed traditional risk methods, a study published in JAMA Network...
To learn more about how socioeconomic factors impact heart health, researchers are increasingly leveraging big data analytics technologies and examining social determinants data at the individual and...
Using predictive analytics technology, clinical decision support tools can help organizations assess resource utilization for elective surgeries during the COVID-19 pandemic, revealed a study published...
Broad-based genetic testing could identify inherited genetic mutations and accelerate precision medicine therapies for patients with cancer, according to a study published in JAMA Oncology.
Hereditary...
