Nature

Prostate cancer diagnosis using sensitive and sophisticated machine learning classifiers based on non-invasive urinary RNA biomarkers (PCASSO)

Prostate cancer (PCa) is the second most prevalent malignancy among men worldwide. However, current screening tools such as serum prostate-specific antigen (PSA) tests and digital rectal examination ...
Nature

Automated meningioma detection using skull X ray images with deep learning and machine learning classifiers

This study aimed to develop a novel diagnostic tool for detecting meningioma using skull X-ray images, combining deep learning with traditional machine learning classifiers. The goal was to explore ...
ascopubs.org

Using AI to identify optimal clinical, genomic, and radiographic prognostic features and novel risk classifiers compared to routinely available risk classifiers.

Cross resistance among novel androgen receptor axis-targeted agents in non-metastatic castration-resistant prostate cancer: A multi-institutional retrospective study.
ascopubs.org

Machine learning-based noninvasive diagnostic classifiers for the prediction of cancer tissue of origin using serum microRNAs.

Observational study examining the feasibility of generating real-world evidence (RWE) for new drug applications from the clinical trials database (DB; RELIASE study). This is an ASCO Meeting Abstract ...