Scientific Committee

Jürg Blaser

healthyprojects

swiss society for medical informatics 

University Hospital Zurich

Switzerland

Website

Clinical information systems have to be upgraded to provide access to up-to-date tools for precision medicine and e-patient records need to include -omics data in trustworthy systems.

Karsten Borgwardt

Data Mining, Biosystems Science and Engineering

ETH Zurich 

sib swiss institute of bioinformatics

Switzerland 

Website

Digitalization of medical data offers opportunities for biomarker discovery using machine learning. My lab develops machine learning algorithms for this task.

Adrian Egli

Clinical Microbiology

University Hospital Basel

Switzerland

Website

Digitalization is the new quantum leap for clinical microbiology: Interconnection of complex data in patients will allow to raise our understanding in infections and provide a faster and more precise diagnosis.

Gilbert Greub

Institute of Microbiology

University Hospital Lausanne

Switzerland

Website

Novel diagnostic tests will produce a huge amount of data. These data needs to be structured and explored with novel approaches – including artificial intelligence.

Aitana Lebrand

Clinical Bioinformatics

sib Swiss Institute of Bioinformatics

Switzerland

Website

The focus is on new challenges, and importantly opportunities for novel developments based on ethical data usage and smart integration, in particular for prevention and diagnosis.

Christian Lovis

Medical information

University Hospital Geneva

Switzerland

Website

Data is useless without interoperability and comparability. Semantic structure will significantly improve the data quality.

Jacob Moran-Gilad

health systems management

Ben-Gurion University of the Negev

Israel

Website

Digitalization offers very novel concepts for pathogen surveillance and public health.

Richard Neher

biozentrum

University of Basel 

sib swiss institute of bioinformatics

Switzerland

Website

Rapid and ubiquitous genome sequencing will usher in a new era of real-time high resolution tracking of pathogens.

Nicole Ritz

Pediatric infectious diseases and migrant health service

University Children’s Hospital Basel

Switzerland

Website

Pediatric infectious diseases affect the poorest countries most. Digitalization may provide novel solutions to the challenges of low income countries.

Belen Rodriguez-Sanchez

Microbiology clinic and infectious diseases

Hospital Gregorio Marañón

Spain

Website

New diagnostic tests will include digital biomarkers in the near future – allowing us to recognize bacterial infections at a significantly earlier timepoint.

Paul Savelkoul

medical microbiology

University of Maastricht

Netherlands

Website

The future of clinical microbiology is digital. Rapid processing of big data to improve the outcomes of our patients.

Torsten Schwede

structural bioinformatics, biozentrum

University of Basel 

sib swiss institute of bioinformatics

Switzerland

Website

Harvesting the opportunities in the digital age means that we need to work together in networks and provide excellent infrastructures.

Tanja Stadler

Computational Evolution, Biosystems science and Engineering

ETH Zurich

sib swiss institute of bioinformatics

Switzerland

Website

Compared to other areas in biology, in human infectious disease research, we cannot perform experiments to learn about pathogen spread directly. Novel technologies for collecting data together with statistical models and computational methods allow us to learn about infectious disease spread indirectly, allowing us to better design control and prevention strategies.

Sarah Tschudin Sutter

infectious diseases and hospital epidemiology

University Hospital Basel and University of basel

Switzerland

Website

Increasing digitalization of routine clinical data will enhance predictive modelling, ultimately improving risk estimates and potentially enabling real-time risk communication during patient care.