Latest AI and machine learning research in bacterial infection for healthcare professionals.
Sepsis management in the ICU requires sequential treatment decisions under rapidly evolving patient ...
Monocular depth foundation models generalize well across scenes, yet they are typically optimized wi...
Pattern formation underlies biological organization across scales, but predicting experimentally obs...
Edge learning refers to training machine learning models deployed on edge platforms, typically using...
The ABACUS study was a single arm, phase II trial evaluating neoadjuvant atezolizumab in operable ur...
Understanding the pathogenesis of amyloid-{beta} pathology in Alzheimer's Disease (AD) proves to be ...
Predicting drug-target interactions (DTIs) with deep learning offers opportunities to accelerate dru...
Staphylococcus aureus produces a broad range of enterotoxins that act as superantigens, disrupting h...
T-cell receptor (TCR) repertoires encode the organization of adaptive immunity and its reshaping by ...
The HIV reservoir that establishes early upon infection and persists in tissues remains the primary ...
Transformer models enable functionally meaningful representation of complex biological data, such as...
Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a gro...
Anxiety is usually gauged by self-report, yet a single symptom level can reflect disparate neural ci...
Sepsis is a leading cause of in-hospital mortality, yet systematically evaluating temporal adherence...
Generalizable protein-expression prediction can accelerate protein engineering, inform disease mecha...
Timely and interpretable early warning of sepsis remains a major clinical challenge due to the compl...
Automated bacterial colony counting from images is an important technique to obtain data required fo...
In this paper, we present three neural network architectures designed for real-time classification o...
Bacterial identification, antimicrobial resistance prediction, and strain typification are critical ...
Accurate prediction of future risk and disease progression in sepsis is clinically important for ear...
Recent EEG studies of human quiet stance have identified beta-band event-related desynchronization (...