Machine learning model improves accuracy of liquid biopsy results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
News-Medical.Net

Machine learning model filters out the biological noise in liquid biopsy samples

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...

FireANTs unlocks faster medical image matching, cutting analysis from a week to minutes

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to ...

Tempus AI: A Unique AI Business Model With Asymmetric Upside

Tempus AI is rated a Strong Buy, leveraging a unique data moat and network effect in healthcare AI. Click here to read an ...

Researchers trained an open source AI search agent, Harness-1, that outperforms GPT-5.4 on recalling relevant information

Harness-1 suggests that the future of agentic AI lies in building better environments for models to work within, rather than ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...