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
CSEM
ML
CV
Robotics
OrganEYEzer # High-throughput sorting of large and small organoids powered by deep learning for drug discovery, tissue engineering, and disease modeling
ML
Interpretable artificial intelligence for computational biology: extracting new insights from single-cell proteomic data.
UZH
ML
Harnessing novel technologies for precision medicine in pediatric diffuse midline glioma
UNIL
ML
Design and application of CytoxPred. Machine-learning to predict cancer cell lines targeted by small molecules
UZH
ML
Derivation of pediatric sepsis phenotypes using machine learning applied to clinical, functional and genomic data from the swiss pediatric sepsis study