How a machine learning engineer built a churn prediction model that transformed a subscription platform’s retention strategy

A subscription technology platform with over 100,000 users was losing customers each month despite having access to ...
Nature

scDrugMap: benchmarking large foundation models for drug response prediction

Drug resistance remains a major challenge in cancer treatment. While single-cell profiling offers unprecedented resolution for uncovercovering resistance mechanisms, the potential of emerging ...
Nature

Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation

Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic stroke. Existing risk scores, such as CHAâ‚‚DSâ‚‚-VASc, offer limited predictive accuracy and fail to ...