When people participate in studies of aging, they often want to know what their individual risks of developing dementia from Alzheimer's disease are. Washington University researchers have developed ...

Pretrial risk assessment algorithms are intended to help judges make more informed decisions, but researchers have raised concerns not only about the fairness and accuracy of the tools themselves, but ...

Please provide your email address to receive an email when new articles are posted on . Risk scores and machine learning algorithms were less accurate at predicting stroke for Black adults than for ...

A recent article published in the medRxiv* preprint server illustrated the derivation and validation of the QCOVID4 risk determination algorithm for predicting coronavirus disease 2019 (COVID-19) ...

An asthma risk score using 7 clinically relevant parameters evaluated in a pediatric Medicaid managed care population can stratify risk for following-year asthma hospitalization. Objectives: ...

New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives. Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) ...

A new study that digs into when and how judges decide to use pretrial risk assessment algorithms found that many judges think these controversial tools are flawed but still useful. The tools, the ...

Educate Nevada Now, an advocacy group, contends the state’s intent was clearly to decide how many students it wants to serve and use the secret algorithm to allow them to meet that need and nothing ...

Among more than 2,300 patients with advanced chronic liver disease, a six-parameter algorithm, known as PLEASE, indicated that patients stratified as high risk had a cumulative risk of developing de ...

Researchers developed an algorithm estimating a person's risk of developing prostate cancer based on age and the levels of two prostate cancer markers, PSA and hK2 (human kalliknein peptidase). They ...