Nov. 4, 2026 Scientists have discovered a compound that transforms a natural muscle-repair protein into a more powerful version dubbed "Super HGF," more than doubling its ability to bind to a key ...

Early detection of respiratory and pulmonary diseases is essential for reducing clinical mortality. Conventional deep learning approaches typically examine medical imagery in isolation from patient ...

Pioneering AstroPath technology, developed by two Hopkins researchers, combines astronomy, pathology, and AI to create detailed maps of tumors ...

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This ...

A machine learning model on the D-Wave quantum computer identified lung cancer in test data with over 90% accuracy. The experiment was conducted by a team led ...

Hyderabad startup PopVax develops personalised cancer vaccines using AI, machine learning, and mRNA tech to target unique tumour mutations.

AOA Dx Chief Scientific Officer Abby McElhinny discusses with LCGC International how the company used high-resolution mass spectrometry-based multi-omics to develop Omira OC, a targeted blood test for ...

A cfMeDIP-seq machine-learning model combining methylation and methylated fragment features distinguished 25 breast cancer ...

Can AI predict cancer death from a face photo? Discover the latest research, key limitations, and what facial AI means for ...

Through the TRIUMPH-IBC initiative, researchers are bringing together different disciplines to develop new treatments for patients dealing with aggressive forms of breast cancer.

Benefits of CyPath® Lung to be shared with North Carolina patient advocacy and healthcare community at November 5 "Battle of the Blues" Event In recognition of National Lung Cancer Awareness Month, ...

Though their findings will need to be clinically validated, researchers using machine learning tools have identified 12 new ...