Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

If you’ve ever had a doctor order a blood test for you, chances are that they ran a complete blood count or CBC. One of the most common blood tests in the world, CBC tests are run billions of times ...

Routine blood samples, such as those taken daily at any hospital and tracked over time, could help predict the severity of an injury and even provide insights into mortality after spinal cord damage, ...

Researchers at Academia Sinica and National Taiwan University Hospital have developed an AI-powered blood test that detects early-stage pancreatic cancer with near-perfect accuracy in validation ...

PanMETAI combines AI and NMR metabolomics to detect early-stage pancreatic cancer from a blood sample, achieving 93 percent ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. The ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...