ascopubs.org

Foundation Model Based on Routine Magnetic Resonance Imaging for Brain Tumor Molecular Profiling and Progression Prediction

To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
Nature

Using blood routine indicators to establish a machine learning model for predicting liver fibrosis in patients with Schistosoma japonicum

Schistosomiasis japonicum is an infectious parasitic disease with serious consequences, widely distributed in tropical and subtropical regions of Asia, Africa and other continents 1. According to WHO ...
ascopubs.org

Use of Patient-Reported Outcomes in Risk Prediction Model Development to Support Cancer Care Delivery: A Scoping Review

Integration of Telemedicine Consultation Into a Tertiary Radiation Oncology Department: Predictors of Use, Treatment Yield, and Effects on Patient Population Using the scoping review methodology ...
Nature

An explainable machine learning model for early pediatric sepsis prediction using cytokine and routine laboratory data

Early sepsis diagnosis in children remains challenging due to nonspecific presentations. This study aimed to develop an interpretable machine learning (ML) model to improve early prediction. The ...
Entrepreneur

People Don’t Want to Pay For Service — They Want Results. This New Business Model Solves That Problem.

Businesses in 2026 thrive by providing measurable outcomes instead of time-based services or educational content. AI and a move towards efficiency drive the demand for outcome-based models over ...
RMD Open

Therapist effects in real-world rehabilitation outcomes: a cohort study of the nationwide GLA:D osteoarthritis management programme in Denmark

Objective Unlike several other fields of healthcare, little is known about the size of ‘therapist effects’ on patient ...