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

Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

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 ...

Researchers launch Hetairos, an AI that predicts brain tumor molecular subtypes in 12 minutes from routine tissue slides, ...

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 ...