Infectious Disease

Bacterial Infection

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

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Predicting Multi-Drug Resistance in Bacterial Isolates Through Performance Comparison and LIME-based Interpretation of Classification Models

The rise of Antimicrobial Resistance, particularly Multi-Drug Resistance (MDR), presents a critical ...

Deep learning extracts MoA-specific signatures from high-throughput images of chemically and genetically perturbed Corynebacteria

Tuberculosis (TB) is the worldwide leading infectious killer due to a single pathogen and increasing...

Bacterial protein function prediction via multimodal deep learning

Bacterial proteins are specialized with extensive functional diversity for survival in diverse and s...

Development and cross-tissue validation of a methylation profile score for the cortisol response to stress

Hypothalamic-pituitary-adrenal axis (HPA axis) dysregulation is a risk factor for poor mental and ph...

Programmable RNA detection generates DNA barcodes for multiplexed phage-host interaction screening

Here, we introduce Detectrons, modular biosensors that couples programmable toehold switches with re...

Formally Verifying and Explaining Sepsis Treatment Policies with COOL-MC

Safe and interpretable sequential decision-making is critical in healthcare, yet reinforcement learn...

ChatDIA: A zero-shot large language model workflow for targeted analysis of data-independent acquisition mass spectrometry data

Data-independent acquisition (DIA) proteomics enables reproducible, large-scale protein identificati...

Metagenomic strain tracking reveals patterns of bacterial spread and the impact of water chlorination

Bacterial infections are a major cause of morbidity and mortality among children under five in low- ...

BRIDGE: Biological Antimicrobial Resistance Inference viaDomain-Knowledge Graph Embeddings

Antimicrobial resistance (AMR) is a growing global health crisis, responsible for an estimated 1.27 ...

Machine Learning Phenotyping of Autonomic Stress from Daily Temperature and Ecological Assessments

Background: Artificial intelligence applications for preventive stress monitoring remain limited by ...

Designing AI-programmable therapeutics with the EDEN family of foundation models

The ability to interpret, modify, and design DNA has driven many of the most significant advances in...

From Robotics to Sepsis Treatment: Offline RL via Geometric Pessimism

Offline Reinforcement Learning (RL) promises the recovery of optimal policies from static datasets, ...

Quantitative RNA pseudouridine landscape reveals dynamic modification patterns and evolutionary conservation across bacterial species

Pseudouridine ({Psi}) modifications are the most abundant RNA modifications; however, their distribu...

Model-Driven Hybrid AI Framework for End-to-End Autonomous Decision-Making in Drug Development

Decision-making in drug development spans heterogeneous stages from molecular design to clinical opt...

Development and internal validation of risk scores to predict survival in the pediatric population following in-hospital cardiac arrest.

Introduction In-hospital cardiac arrest (IHCA) in the pediatric population is associated with poor s...

Genomic Signatures and Prediction of Clinical Severity in Klebsiella pneumoniae infections in a Multicenter Cohort

Klebsiella pneumoniae is a major causative agent of hospital-acquired infections worldwide, contribu...

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