UI-MALL - Artigos: Envíos recientes
Mostrando ítems 1-5 de 6
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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) ... -
Machine learning applied to transcriptomic data to identify genes associated with feed efficiency in pigs
(BioMed Central Ltd., 2019-03-13)[Abstract]: Background: To date, the molecular mechanisms that underlie residual feed intake (RFI) in pigs are unknown. Results from different genome-wide association studies and gene expression analyses are not always ... -
Epidemiology, resistance genomics and susceptibility of Acinetobacter species: results from the 2020 Spanish nationwide surveillance study
(European Centre for Disease Prevention and Control (ECDC), 2024-04-11)[Abstract]: Background: As increasing antibiotic resistance in Acinetobacter baumannii poses a global healthcare challenge, understanding its evolution is crucial for effective control strategies. Aim: We aimed ... -
Avoiding the Inherent Limitations in Datasets Used for Measuring Aesthetics When Using a Machine Learning Approach
(Hindawi Limited, 2019)[Abstract]: An important topic in evolutionary art is the development of systems that can mimic the aesthetics decisions made by human begins,e.g., fitness evaluations made by humans using interactive evolution in generative ... -
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 ...