survival-prediction
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
A Random Survival Forest implementation inspired by Ishwaran et al.
A patient-first foundation model for computational pathology. Two-stage training (self-supervised slide encoding + supervised case-level alignment) on 77K+ public whole-slide images across 333 clinical tasks.
