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How to Submit an Application

Applicants must register on the ISF website two weeks before the submission deadline. Detailed guidelines will be published prior to opening the website for submissions.
The types of research that will be funded will include disease pathways; new approaches to diagnostics and therapeutics; development of new medical technologies; advanced approaches to studying the molecular and clinical variability in human disease, including the study of germ-line genomics, somatic mutations, transcriptome, epigenomics, proteomics, microbiome, metabolomics and more.

The IPMP will provide grants in two research tracks:
Projects involving extensive collection and analysis of data from participants, and collaborations across universities and medical institutions (average of $400,000 per year for up to five years – total grants of up to $2M)
Technology Development Projects ($50,000–$100,000 per year for three years; up to $300,000 per project)

Topic Focus

Biological diversity in humans, in particular at the molecular level, and its implications for health and pathology, diagnosis and treatment of disease. Studies funded under this program may include, but are not limited to:

In-depth genomic characterization of specific human populations for better understanding and diagnosis of pathologies and towards personalized treatment, by pooling and synergistic usage of existing databases or by accumulating data from the research project, including big data analysis.

Characterization of somatic genetic changes in diseases for the development of novel diagnostic and therapeutic modalities and deeper understanding of tissue dynamics.

Characterization of the epigenome, transcriptome, proteome, microbiome, or metabolome to gain mechanistic understanding of human disease.

Using human tissue samples to explore the mechanisms of cellular and molecular processes and its contribution to specific pathologies.

Development of innovative technologies for disease diagnosis or treatment, based on a comprehensive biological understanding.

Development of computational platforms for advanced processing of medical and biological data, including both data collected within the research project and archived medical data

Development of unique imaging methods.

Addressing biomedical problems using single-cell analysis