As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

Artificial intelligence is rapidly becoming medicine’s most powerful microscope, revealing patterns in human DNA that were ...

Biotechnology is changing fast, and it feels like every week there’s something new popping up. It’s not just about new ...

Instead of searching for a single molecule or structure that proves the presence of biology, researchers attempted to classify how likely mixtures of compounds preserved in rocks and meteorites were ...

A new imaging technology can distinguish cancerous tissue from healthy cells by detecting ultra-weak light signals. It relies ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

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 ability of Raman spectroscopy to identify molecular-level spectral fingerprints has made it an attractive route to diagnostic information and identification of early-stage tumors, especially in ...

Scientists have uncovered how too much sunlight can flip a hidden switch inside skin cells that makes inflammation spiral out of control and increases the risk of cancer. Their research reveals that ...