ascopubs.org

Deep learning-based prediction model for predicting the tumor origin of cancers of unknown primary.

HER2 in situ hybridization testing in breast cancer: Applying algorithm-assisted assessment to reduce interobserver variability in difficult cases. This is an ASCO Meeting Abstract from the 2023 ASCO ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
ascopubs.org

Integrating deep learning network and liquid biopsy for the evaluation and prediction of response in patients with advanced non-small cell lung cancer: Initial results from the ...

Depletion of histone H3K27 demethylase exerts anti-tumor activity as a monotherapy and in combination therapy with ceralasertib in non-small cell lung carcinoma. This is an ASCO Meeting Abstract from ...
Hosted on MSN

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...
Business Wire

Onc.AI to Present Breakthrough Deep Learning Radiomic Biomarker Results at 2025 ASCO Annual Meeting

Onc.AI’s poster presentation showcases its FDA-breakthrough designated deep learning radiomics model, Serial CTRS, which evaluates changes across routine CT scans over time to predict overall survival ...