CORDIS Project
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The ExCAPE project aims to develop scalable machine learning algorithms for predicting bioactivity in pharmaceuticals. It addresses challenges in data handling and model quality to enhance the efficiency of drug testing processes.
Scalable machine learning of complex models on extreme data will be an important industrial application of exascale computers.
In this project, we take the example of predicting compound bioactivity for the pharmaceutical industry, an important sector for Europe for employment, income, and solving the problems of an ageing society.
Small scale approaches to machine learning have already been trialed and show great promise to reduce empirical testing costs by acting as a virtual screen to filter…
INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Spain, Madrid
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Belgium, Beerse
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Czechia, Ostrava Poruba
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Sweden, Sodertaelje
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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