During this first call for proposals, a total of 38 applications were received – 16 Infrastructure Development project applications and 22 Driver project applications, including 11 applications that requested co-funding by PHRT and SPHN. The total budget requested for all project applications was CHF 58.6 million.
Based on the recommendation of its International Advisory Board, the National Steering Board of SPHN decided to support 8 Infrastructure Developments projects and 7 Driver projects, of which 3 will be co-funded by SPHN and PHRT, for a total amount of CHF 15.66 million.
The following projects will be funded fully or in part and for some, funding is subject to certain conditions.
Infrastructure development projects
Development of a governance and quality management system for exchange of patient related data for research purposes.
E-General-Consent: Development and Implementation of a Nationwide Harmonized Interactive Electronic General Consent.
C3-STuDY: Citizen Centered Consent: Shared, Transparent and Dynamic.
LOINC for Swiss Laboratories (L4CHLAB).
DeID/De-identification of clinical narrative data in French, German and Italian.
NLP-powered mapping of clinical reports onto SNOMED-CT concepts for tumour classification (NLPforTC).
Swiss Variant Interpretation Platform for Oncology (SVIP-O).
Harmonising the collection of health-related data and biospecimens in paediatric hospitals throughout Switzerland.
Swiss Frailty Network and Repository.
Population-wide screens of the human immune repertoire: a reverse personalized-medicine approach.
Swiss Personalized Oncology Driver (SPOD)*.
Multidisciplinary Multicentre Molecular and Cellular Cancer Consortium (M3C3.CH)*.
* These projects are funded under the condition they are merged.
Driver Projects co-funded by SPHN and PHRT
PRECISE: Identification of biomarkers and therapeutic targets in inflammatory disease immunotherapy by high-dimensional single cell analysis and cluster proteomics.
Swiss Molecular Pathology Breakthrough Platform (SOCIBP).
PSSS: Personalized Swiss Sepsis Study: Detection and modelling of sepsis using machine learning to analyse continuous ICU monitoring, laboratory, microbiology, and -omics data for personalized sepsis management.
The list can also be downloaded as PDF.