Description

Leader of the group Life Sciences and Health: Leen Stougie.

The CWI Life Sciences and Health (LSH) group is a group of computer scientists and mathematicians whose research focus is on the analysis and design of models and algorithms as well as their direct application to important challenges in the LSH domain.

On the application side, our present team of researchers has expertise in, e.g., computational genomics, medical informatics, computational phylogenetics, and biological network analysis. On the methodological side, we come from different backgrounds, e.g., computational intelligence, computational data science, and operations research. Methodologically, we develop new theories, models, algorithms and decision support tools, for problems that arise mostly in collaboration with experimental biologists and medical experts. We actively collaborate in projects with academic hospitals, biological and biochemical research institutes, and industry.

The LSH group participates in the INRIA International team ERABLE.

Seminars: The LSH group organizes a biweekly seminar.

Watch our group video to get a glimpse of our activities or click here for more information about our group structure.

 

News

Members

Associated Members

Publications

Software

Current projects with external funding

  • Improving Childhood Cancer Care when Parents Cannot be There - Reducing Medical Traumatic Stress in Childhood Cancer Patients by Bonding with a Robot Companion ()
  • Enhancing protein-drug binding prediction
  • ICT based Innovations in the Battle against Cancer – Next - Generation Patient -Tailored Brachytherapy Cancer Treatment Planning
  • Statistical Models for Structural Genetic Variants in the Genome of the Netherlands
  • Deep Learning based genome wide association techniques for uncovering the missing heritability and novel, clinically actionable genetic variants in ALS (DEEP GWAS for ALS)
  • Fusible Evolutionary Deep Neural Network Mixture Learning from Distributed Data for Robust Medical Image Analysis (FEDMix)
  • Multi-Objective Deformable Image Registration (MODIR) – An Innovative Synergy of Multi-Objective Optimization, Machine Learning, and Biomechanical Modeling for the Registration of Medical Images with (MODIR)
  • Networks
  • Pan-genome Graph Algorithms and Data Integration (PANGAIA)

Related partners

  • AMC Medical Research
  • Elekta Limited
  • Nucletron Operations BV
  • Xomnia
  • Academisch Medisch Centrum
  • Biomedical Imaging Group Rotterdam
  • Erasmus Universiteit Rotterdam
  • Geneton S.R.O.
  • Illumina Cambridge
  • Institut Pasteur
  • Stichting ALS
  • Technische Universiteit Delft
  • Univerzita Komenskeho V Bratislave
  • Universiteit Leiden
  • Universitaet Bielefeld
  • Universita' Degli Studi di Milano-Bicocca