Trans-omic approach to colorectal cancer: an integrative computational and clinical perspective
UNIL
ML
Recurrence-independent inference of rare and non-coding functional mutations in cancer
UZH
ML
Harnessing novel technologies for precision medicine in pediatric diffuse midline glioma
EPFL
ML
Graph Neural Networks for Explainable Artificial Intelligence
UZH
ML
Derivation of pediatric sepsis phenotypes using machine learning applied to clinical, functional and genomic data from the swiss pediatric sepsis study
UNIL
ML
Characterizing heart failure with preserved ejection fraction - an integrative approach that combines quantitative MRI, metabolomics, and genomics with machine learning
