Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Conclusions: The ML models based on 2- and 6-month culture conversion could accurately predict treatment outcomes for patients with MDR/RR-TB. ML models, particularly the artificial neural network ...
Abstract: The excessive use of antibiotics has contributed to the growing resistance of various microbial pathogens, prompting the exploration of alternatives such as antimicrobial peptides (AMPs).
Abstract: The absence of low-frequency (LF) components in seismic records leads to nonuniqueness in inversion, making the building of a reasonable LF model crucial for achieving high-precision ...
Sportsbooks have long been the primary platforms for sports betting. However, the rise of prediction markets has introduced a different option. Unlike traditional sportsbooks, prediction markets cover ...
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