Web predictor
PIVKA-HCC
Predict Hepatocellular Carcinoma risk using the PIVKA-II biomarker.
Tools
Web predictors that can be used directly in the browser, and the open-source software behind our research.
Open source on GitHub
The code behind our papers and tools is published on our GitHub organization, github.com/compbiomed-unito.
Web predictors
Web predictor
InterTAKO
Predict in-hospital death for patients with Takotsubo syndrome.
Web predictor
Canine DLBCL
Predict survival for canine diffuse large B-cell lymphoma.
These predictors are research tools. They are not intended for diagnosis, prognosis or treatment decisions for individual patients, and their results must not replace clinical judgment.
Featured software
survhive (opens in a new tab)
Convenient, opinionated wrapper around some (deep) survival models.
Software
survcraft (opens in a new tab)
A Python package for building deep learning survival predictive models, with composable Torch modules and a general scaffold to assemble customized models.
Software
survival-metrics (opens in a new tab)
Various implementations of survival metrics.
Software
JanusDDG (opens in a new tab)
Software
chargaff-symmetry-tradeoffs (opens in a new tab)
Software