Critical Care

Sepsis

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

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An Improved Dataset for Predicting Mammal Infecting Viruses from Genetic Sequence Information

There have been several attempts to develop machine learning (ML) models to identify human infecting...

Automating Candidate Gene Prioritization with Large Language Models: From Naive Scoring to Literature-Grounded Validation

Identifying promising therapeutic targets from thousands of genes in transcriptomic studies remains ...

Machine learning based lineage prediction from AMR phenotypes for Escherichia coli ST131 clade C surveillance across infection types

Rising antimicrobial resistance (AMR) in Escherichia coli bloodstream infections (BSIs) in high-inco...

Breaking the culture habit: metagenomic diagnosis of companion animal skin infections

Skin infections have been described as the primary cause for presentation in veterinary small animal...

Next generation neural mass model with dopamine modulation mediated by D1-type receptors

Neuromodulation is a complex process in which chemical substances modulate brain activity, allowing ...

Octopamine signaling from clock neurons plays dual roles in Drosophila long-term memory

Circadian clock genes are best known for regulating circadian rhythms, but they also play crucial ro...

Hyperspectral image analysis for classification of multiple infections in wheat

Plant diseases can cause heavy yield losses in arable crops resulting in major economic losses. Effe...

A Machine Learning Approach Reveals CRISPR-Cas I-F as a Genomic Marker of Antibiotic Susceptibility in Uropathogenic E. coli

Antimicrobial resistance (AMR) in Escherichia coli is a critical global health challenge, particular...

Fingerprint-Based Explainable Machine Learning for Predicting Blood–Brain Barrier Permeability

Predicting blood–brain barrier (BBB) permeability is essential for early central nervous system (CNS...

Machine Learning-assisted Raman Spectral Analysis of Serotonin-responsive ssDNA-SWCNT Nanosensor for Improved Selectivity against Dopamine

Serotonin (5-hydroxytryptamine, 5-HT) plays critical roles in neuromodulation, yet current detection...

DANCE: An open-source analysis pipeline and low-cost hardware to quantify aggression and courtship in Drosophila

Quantifying animal behavior is pivotal for identifying the underlying neuronal and genetic mechanism...

Coenzyme A depletion causes antibiotic tolerance in Pseudomonas aeruginosa

The widespread use of antibiotics promotes both resistance and tolerance. While resistance enables b...

Cholinergic-dependent dopamine signals in mouse dorsal striatum are regulated by frontal but not sensory cortices

Everyday decisions depend on linking sensory stimuli with actions and outcomes. The striatum support...

Integrated analysis implicates novel insights of NMB into lactate metabolism and immune response prediction in primary glioblastoma

Glioblastoma (GBM), the most aggressive primary brain tumor in adults, exhibits profound treatment r...

From sequence to signature: Machine learning uncovers multiscale feature landscapes that predict AMR across ESKAPE pathogens

Since the clinical introduction of antibiotics in the 1940s, antimicrobial resistance (AMR) has beco...

A corticostriatal learning mechanism linking excess striatal dopamine and auditory hallucinations

Auditory hallucinations are linked to elevated striatal dopamine, but their underlying computational...

A Non-Intrusive Computer Vision Framework for Real-Time Vital Sign Digitization and Adaptive Drug Infusion in Critical Care Environments

This work proposes a computer vision framework to automate the extraction of vital signs from bedsid...

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