ListarUnidades de investigación por tema "Machine learning"
Mostrando ítems 1-3 de 3
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MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products
(BMC, 2024-01-23)[Absctract]: The enantioselective Brønsted acid-catalyzed α-amidoalkylation reaction is a useful procedure is for the production of new drugs and natural products. In this context, Chiral Phosphoric Acid (CPA) catalysts ... -
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research
(Elsevier, 2024-01-16)[Abstract]: Every year, 11% of infants are born preterm with significant health consequences, with the vaginal microbiome a risk factor for preterm birth. We crowdsource models to predict (1) preterm birth (PTB; <37 weeks) ... -
VIBES: A consensus subtyping of the vaginal microbiota reveals novel classification criteria
(Elsevier, 2024)[Abstract]: This study aimed to develop a robust classification scheme for stratifying patients based on vaginal microbiome. By employing consensus clustering analysis, we identified four distinct clusters using a cohort ...