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Mark your calendar!

TranSYS kickoff via a mini-symposium at KU Leuven (Belgium) and a first School later in the year. Check out the website for COVID-19 updates:

Our paper was highlighted by the International Genetic Epidemiology Society

One step closer to molecular disease subtyping for personalized medicine!

Development of individual-specific molecular networks (ITN-PhD Position @ BIO3 KU Leuven))

Describing a system implies describing its behaviour and important control mechanisms that regulate this behaviour. Crucial in this process are interactions, which may occur at different levels or scales, and thus network theory and network visualization are increasingly being used to understand biological mechanisms operating in human systems. However, anRead More

Hunting for patient subtypes through 3D imaging biomarkers in genetic disorders (ITN-PhD Position @ BIO3 KU Leuven)

Within this PhD project, we aim to develop a framework for gene-centric image data integration analytics and to support a patient stratification strategy that identifies major gene effects with potential applications in a variety of medical disorders. This will built on our previous work on rare monogenetic/ complex diseases inRead More

9 new PhD positions in the EU funded ETN TranSYS

Are you interested in “Precision Medicine at the Interface of Translational Science and Systems Medicine”? Then one of these vacant positions in TranSYS, coordinated by BIO3 may be what you are looking for. Have a look at to find out more detailes and/or to apply!

Coordinating a new Marie Curie ITN (ETN)

Our BIO3 lab will coordinate the new Marie Curie Innovative Training Network “TranSYS – Translational Systemics for Personalized Medicine” from 2020-2023. Abstract TranSYS will recruit 15 ESRs to highly skilled jobs in the new era of Systems Health developing tools and approaches to exploit large and complex datasets to advanceRead More

Participating in a new Marie Curie ITN (ETN)

Our BIO3 lab will participate in the new Marie Curie Innovative Training Network “MLFPM – Machine Learning Frontiers in Precision Medicine” from 2019-2022. Abstract Healthcare is entering the digital era: More and more patient data, from the molecular level of genome sequences to the level of image phenotypes and healthRead More