Infectious Disease

Bacterial Infection

Latest AI and machine learning research in bacterial infection for healthcare professionals.

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GCN-Mamba: Graph Convolutional Network with Mamba for Antibacterial Synergy Prediction

The escalating crisis of antimicrobial resistance necessitates novel therapeutic strategies, among w...

AI is Smart. Is it Wise? Quantifying the Effect of Patient-Choice (β) on Physical Outcomes

Large language models (LLMs) increasingly guide clinical decisions through population-level evidence...

Fleming: An AI Agent for Antibiotic Discovery in Mycobacterium Tuberculosis

Antibiotic development is challenged by high costs and failure rates. Artificial intelligence (AI) h...

abx_amr_simulator: A simulation environment for antibiotic prescribing policy optimization under antimicrobial resistance

Antimicrobial resistance (AMR) poses a global health threat, reducing the effectiveness of antibioti...

Bacterial proteome foundation model enhances functional prediction from enzymes to ecological interactions

Bacteria play fundamental roles in ecosystems, human health, and biotechnology. Although bacterial g...

Machine Unlearning for GDPR Right-to-Erasure in Antimicrobial Resistance Prediction Models

Objective. Healthcare machine learning models trained on patient data must comply with the General D...

Optimising antibiotic switching via forecasting of patient physiology

Timely transition from intravenous (IV) to oral antibiotic therapy shortens hospital stays, reduces ...

Phenotypic reversion and target prioritization for cellular inflammation via representation learning with foundation models

The identification of genetic perturbations that can reverse disease-associated cellular phenotypes ...

dAMN: a genome scale neural-mechanistic hybrid model to predict bacterial growth dynamics

This study presents dAMN, a hybrid neural-mechanistic model that integrates neural networks with gen...

Characterizing Autonomic Dysfunction during Resuscitation in Sepsis using Multiscale Entropy

Rationale Autonomic dysfunction is a hallmark of sepsis pathophysiology, yet its quantification rema...

Predicting how perturbations reshape cellular trajectories with PerturbGen

A major challenge in biology is predicting how cells transition between states over time and how per...

Ligand-guided Sequence-structure Co-design of De Novo Functional Enzymes

Proteins underpin essential biological functions across all kingdoms of life. The capacity to design...

N-gram Injection into Transformers for Dynamic Language Model Adaptation in Handwritten Text Recognition

Transformer-based encoder-decoder networks have recently achieved impressive results in handwritten ...

A Proof-of-Concept Study of a Clinical Decision Support System for Vancomycin Therapeutic Monitoring

Artificial intelligence (AI), particularly large language models (LLMs), is increasingly explored in...

Explainable AI for end-to-end pathogen target discovery and molecular design

Drug discovery is often constrained by target identification, a bottleneck especially acute in antim...

Eubiota: Modular Agentic AI for Autonomous Discovery in the Gut Microbiome

The gut microbiome regulates many aspects of human biology, including immunity and inflammatory dise...

Cross hybridization Inference for Phylogenetic Resolution (CIPHR)-FISH enables microbiome imaging with strain level taxonomic resolution

The spatial organization of microbial communities is a critical determinant of host-microbe interact...

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