The Machine Learning for Healthcare and Life Sciences group specializes in developing algorithms that learn to recognize complex patterns within rich and massive data. The team's focus lies in developing and applying machine learning and data mining tools to an array of different challenging problems in the healthcare domain, including clinical omics analysis, clinical decision support systems, analysing Real World Evidence through predictive analytics and causal inference, and modelling various diseases and disorders.
Beneficiary terminated on the 31st March 2019, now acting as a Partner Organization. New responsible: Dr. Adam Spiro
IBM Haifa Research Lab
Haifa University Campus, Mount Carmel
Haifa 3498825
Israel
T +972-3-768-9445
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As part of our MSCA-ESR training on complementary skills we got to leave the wet lab to explore what happens on the other side of the bench and to learn what it means to be a scientific editor. This is our story.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 766214.
Bellvitge Biomedical
Research Institute (IDIBELL)
Hospital Duran i Reynals, 3a planta
Gran Via de l’Hospitalet, 199
08908 L’Hospitalet del Llobregat
Barcelona, Spain
