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 ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications ...

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.

A new study suggests that an AI-assisted blood test, which measures for biomarkers, could help to identify prediabetes risk earlier.

A new article outlines a new tool that measures blood inflammation as a marker for poor CAR T therapy outcomes. Researchers with City of Hope, one of the largest and most advanced cancer research and ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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 ...

Internal iliac and obturator lymph nodes are common sites of metastasis in rectal cancer. This study developed a machine learning (ML) model using clinical data to predict lymph node metastasis and ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...