Please provide your email address to receive an email when new articles are posted on . Older age, male sex and Black or Asian race were associated with a higher likelihood of gastric cancer.

Transforming EHR data into image matrices enhances deep learning models' accuracy in predicting 5-year survival in colorectal cancer. The VGG16 model achieved up to 78% accuracy and high specificity, ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Mental health conditions such as bipolar disorder or depression can be difficult to definitively diagnose, but algorithms based on EHR data of confirmed diagnoses can predict individuals with 79 to 85 ...

CHICAGO--(BUSINESS WIRE)--Veradigm (NASDAQ: MDRX) announced today that Veradigm Network EHR Data is now available within the OMOP CDM format. Veradigm Network EHR is a complete statistically ...

Researchers developed a model using EHR data to predict MM risk, addressing late diagnosis issues due to lack of early symptoms and screening markers. The study analyzed data from Clalit Health ...

Although immune checkpoint inhibitors (ICIs) have improved outcomes in certain patients with cancer, they can also cause life-threatening immunotoxicities. Predicting immunotoxicity risks alongside ...

VICTORIA, British Columbia--(BUSINESS WIRE)--IPA (IMMUNOPRECISE ANTIBODIES LTD.) (the “Company” or “IPA”) (NASDAQ: IPA), an artificial intelligence-driven biotherapeutic research and technology ...

For many chief medical information officers, technology investments are no longer framed solely as operational upgrades. Increasingly, they are being discussed in the context of clinician recruitment, ...