Search Results for author: Mélodie Monod

Found 2 papers, 1 papers with code

TorchSurv: A Lightweight Package for Deep Survival Analysis

1 code implementation16 Apr 2024 Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller

TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment.

Survival Analysis

Estimating the potential to prevent locally acquired HIV infections in a UNAIDS Fast-Track City, Amsterdam

no code implementations15 Mar 2022 Alexandra Blenkinsop, Mélodie Monod, Ard van Sighem, Nikos Pantazis, Daniela Bezemer, Eline Op de Coul, Thijs van de Laar, Christophe Fraser, Maria Prins, Peter Reiss, Godelieve de Bree, Oliver Ratmann

Utilising molecular and clinical data of the ATHENA observational HIV cohort, our primary aims are to estimate the proportion of undiagnosed HIV infections and the proportion of locally acquired infections in Amsterdam in 2014-2018, both in MSM and heterosexuals and Dutch-born and foreign-born individuals.

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