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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 ...
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 ...
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 ...
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 ...
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) ...
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 ...
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)
[Abstract] BackgroundAs increasing antibiotic resistance in Acinetobacter baumannii poses a global healthcare challenge, understanding its evolution is crucial for effective control strategies.AimWe aimed to evaluate the ...
Segmentation, classification and interpretation of breast cancer medical images using human-in-the-loop machine learning
(Springer, 2024-12-10)
[Abstract]: This paper explores the application of Human-in-the-Loop (HITL) strategies in the training of machine learning models in the medical domain. In this case, a doctor-in-the-loop approach is proposed to leverage ...