Record #622962

NADIR

New directions for deep learning in cancer research through concept explainability and virtual experimentation

Grant period	2024-01-01 - 2028-12-31
Funding body	European Union
	CORDIS
Call number	ERC-2023-STG - ERC STARTING GRANTS
Grant number	101114631 ; ERC-2023-STG - ERC STARTING GRANTS
Further information:	Homepage
Identifier	G:(EU-Grant)101114631

Note: Deep learning tools for cancer research in biomedicine. Deep learning (DL) has revolutionised cancer research by extracting molecular information from image data. However, its effectiveness is limited as it remains purely descriptive and disconnected from biological mechanistic knowledge. In this context, the ERC-funded NADIR project aims to leverage DL models to predict, verify and even discover new biological mechanisms. Integrating programming, medical image analysis and biomedical engineering, the project will develop DL tools capable of extracting biological concepts, elucidating biological mechanisms, and generating and testing mechanistic hypotheses. NADIR’s primary focus lies on understanding tumour-immune interactions in colorectal and gastric cancers. Through its educational and outreach programme, the project aims to make the tools available to cancer researchers in the field of biomedicine.

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Record created 2025-01-31, last modified 2025-02-02

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