One of the most challenging moments in cancer treatment comes when a therapy stops working. In many metastatic cancers, drugs ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Women who eat large amounts of ultra-processed foods (UPFs) are at a greater risk of developing a precursor to bowel cancer, according to a new study. Research found women who frequently eat UPFs are ...

New artificial intelligence technology is helping diagnose the U.S.’s most deadly cancer sooner, greatly improving the chances of patients’ survival. The key? Detecting tiny lung nodules when doctors ...

CT scans identified cancer in 13% of patients with non-specific symptoms, despite a fivefold increase in referrals from GPs from 2012 to 2019. Around 1 in 7 patients were diagnosed with cancer. This ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

"No cancer signal detected." The blood test results popped up in my online health portal without much fanfare. A doctor would chat about them with me later, congratulating me on the "phew"-worthy ...

Researchers at Fox Chase Cancer Center, Temple University's College of Engineering, and the Lewis Katz School of Medicine at Temple University have developed a new method that enhances the ability of ...

Only about 75% of eligible U.S. women schedule regular screenings. When it comes to early detection, mammograms remain the only screening test proven to reduce deaths from breast cancer in ...