Pancreatic cancer (PaC) is often diagnosed at advanced stages, resulting in one of the lowest survival rates among patients with cancer. The purpose of this study was to investigate whether machine ...

Cell-aware diagnosis is a new and effective way to detect defects inside standard cells. Industry standard failure analysis (FA) results from a major foundry show that cell-aware diagnosis is very ...

Machine learning (ML) models have been increasingly used in clinical oncology for cancer diagnosis, outcome predictions, and informing oncological therapy planning. The early identification and prompt ...

In a recently published study in the journal Nature Medicine, researchers developed and tested an intelligent model for diagnosing patients with occlusion myocardial infarction (OMI). This model was ...

A study says machine learning algorithms applied to biopsy images can shorten the time for diagnosing and treating a gut disease that often causes permanent physical and cognitive damage in children.

The PR-OCT imaging detected images of colon cancer (top photo) and of normal colon tissue. The green boxes indicate the scores of probability of the predicted "teeth" patterns in the tissue. [Zhu Lab] ...

Fullerton’s Beckman Coulter Inc., a maker of diagnostic testing machines for hospitals, other healthcare providers and researchers, said Tuesday regulators approved its latest device for analyzing ...

PITTSBURGH, Nov. 28, 2025 /PRNewswire/ -- "I thought there should be an electronic diagnostic tool for electric clothes washing and drying machines," said an inventor, from Leona, Texas, "so I ...