BioHealth Computing
School program

Timetable 2017: click here to view



CompMed is an interdisciplinary school based on six sessions:


1st session: Semantic mapping of patient-specific data and modeling from ontologies.

– Create a semantic mapping on inference engineering using on ontologies
– Support the multi-scale model integration.
– Support the interaction between deterministic model and probabilistic models.
– Provide intuitive users interfaces for clinician an bio-researchers.
-Use specific datasets (BioBridge and PAC-COPD) and publically available datasets


2nd session: Vertical model integration for mechanistic modeling

– Integrate of different physiological deterministic models explaining oxygen transport from the atmosphere to the cell
– Integrate of oxygen transport models with modeling of mitochondrial reactive oxygen species (ROS) generation
– Prepare the integration between deterministic models of oxygen transport and mitochondrial ROS generation with probabilistic modeling of metabolic pathways



3rd session: Multi-scale horizontal integration

– Use of deterministic and probabilistic modeling to analyze the underlying mechanisms of the three phenotypes identified in the PAC-COPD study
– Analyse of associations of co-morbidities in PAC-COPD and in the Medicare database (diseasome)
– Use of deterministic and probabilistic modeling to assess abnormal regulation of metabolic pathways associated with clustering of co-morbid conditions.


Graduation ceremony
4th session. Tools for bio-researchers and clinicians

– Create an inference engine and a simulation environment, which allow reasoning and computer-based prediction using the knowledge base (WP3)
– Create two graphical visualization environments, which allow a user profile access the simulation engine and the inference engine
– Produce clinical decision support systems to be integrated into an ICT platform supporting integrated care





5th session. Model and platform validation

– Validate of the knowledge generated on underlying factors of COPD phenotypes and determinants of clustering of co-morbid conditions using the ECLIPSE dataset
– Assess the usability and applicability of the prediction models integrated into the ICT platform supporting integrated care


Student brainstorming
6th session. Communication, dissemination

– Write an executive summary reporting all the aspects to be addressed and containing: o An introduction of the proposed solutions o The 5 deliverables o A discussion and conclusion: the group has to provide a SWOT matrix analyzing their choices and proposition of production
– Prepare an oral defense: Each group will have to prepare slides for an oral defense: 20 minutes for presentation and 15 minutes for questions.






Participants are invited to work on a computer-based simulation environment for prediction of patient prognosis that should facilitate the design of early strategies to modulate the disease progress.


The aim is that the physician enters clinical data of the patient and can receive support to predict the effects of a specific rehabilitation therapy obtained from the results of various differential equations and a knowledge-based system.


The participants have to design a clinical decision support systems (CDSS) aiming at facilitating clinical applicability of knowledge generated by the project into an integrated care scenario ( The student’s groups are coached by academic and professional tutors from Synergy-COPD consortium.