Critical Care

Sepsis

Latest AI and machine learning research in sepsis for healthcare professionals.

7,154 articles
Stay Ahead - Weekly Sepsis research updates
Subscribe
Browse Categories
Critical-Care Subcategories: Sepsis
Showing 2794-2814 of 7,154 articles
Hybrid Epidemic–Neuronal Dynamics: A SEIR–FitzHugh–Nagumo Model for Information Flow in Complex Neural Networks

Information transfer in neural systems is often modeled through diffusive or synaptic mechanisms tha...

SLOGEN: A Structure-based Lead Optimization Model Unifying Fragment Generation and Screening

Lead optimization plays an important role in preclinical drug discovery. While deep learning has acc...

A hardwired neural circuit for temporal difference learning

The neurotransmitter dopamine plays a major role in learning by acting as a teaching signal to updat...

Leveraging Deep Learning and MD Simulations to Decipher the Molecular Basis of Attenuated Activity in Glycocin F

The escalating crisis of multi-drug resistant bacteria demand a new generation of antibiotics. Glyco...

Benchmarking Large Language Models for Pathogen–Disease Classification in Post-Acute Infection Syndromes

Post-Acute Infection Syndromes (PAIS) are medical conditions that persist following acute infections...

AI-driven discovery and optimization of antimicrobial peptides from extreme environments on global scale

The escalating crisis of global antimicrobial resistance (AMR) necessitates the discovery of novel a...

Phylogeny-agnostic strain-level prediction of phage-host interactions from genomes

Bacteriophages offer promising alternatives to antibiotics for treating drug-resistant infections an...

ADHD Medications and Preadolescent Brain Structure: Patterns of Cortical Attenuation from the ABCD Study

Attention-deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental disorder in th...

What kind of birds are more susceptible to avian malaria? A global analysis based on interpretable machine learning approach

Avian malaria (genus Plasmodium) is a mosquito-transmitted parasitic disease of birds. It has a wide...

Design of multimodal antibiotics using deep learning

The rise of antimicrobial resistance has rendered many treatments ineffective, posing serious public...

SARS-CoV-2 Variant-Dependent Alterations in Nasopharyngeal Microbiota and Host Inflammatory Response

The SARS-CoV-2 pandemic saw multiple outbreaks occur over short periods. This was linked to the viru...

Reinforcement learning for adaptive control of phenotypically heterogeneous bacterial populations

Bacterial populations display extraordinary resilience to antibiotic stress, driven by diverse physi...

Confidence-based Prediction of Antibiotic Resistance at the Patient Level

Rapid and accurate diagnostics of bacterial infections are necessary for efficient treatment of anti...

Predicting Future SARS-CoV-2 Mutations using Deep Learning

SARS-CoV-2 continues to spread over the world steadily as opposed to many earlier estimations that i...

Extending digital biology: bacterial survival and morphological heterogeneity under antibiotic stress

The morphology of bacteria is modified by antibiotic stress while also serving to survive the antibi...

Composing the value signal for dopamine-mediated learning

The seminal reward prediction error theory of dopamine function faces several key challenges. Most n...

Scoring gene importance by interpreting single-cell foundation models

Determining a gene’s functional significance within a cellular context has long been a challenge, as...

A foundation model for microbial growth dynamics

Microbial growth dynamics contain rich information about microbial populations, which support applic...

Image-based morphological profiling of autophagy phenotypes in Zika virus infected cells

Autophagy is a dynamic intracellular process that is essential in maintaining cellular homeostasis. ...

Browse Categories