CORDIS Project
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The LowDataML project aims to enhance the application of machine learning in chemistry by developing new methodologies for low data scenarios. It focuses on training scientists in synthetic organic chemistry and drug discovery, addressing real-world needs while promoting sustainable research practices.
Innovation in the chemical sciences is bound to iInnovation in the chemical sciences is bound to impact on Healthcare and Society.
Supported by improved analytical methods and automation, brute force and large-scale experimentation have been playing an important role in generating volumes of chemical and biological data.
These data now enable the support to decision making through machine learning/artificial intelligence (ML/AI) algorithms.
In doing so, such algorithms help in the design and pri…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Sweden, Sodertaelje
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
United Kingdom, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Netherlands, Eindhoven
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Germany, MUENSTER
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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