Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Chemical composition, antioxidant, and antifungal properties of Mentha essential oils: insights from chemo-informatic analysis.

Essential oils (EOs) from the genus Mentha possess diverse chemotypes and multiple bioactivities, but the relationship between their chemical composition and specific activity remains unclear. In this study, EOs were extracted from fifteen Mentha varieties via hydro-distillation with yields ranging from 0.15% to 0.70%, and GC-MS analysis identified 59 major volatile compounds. These EOs demonstrat...

May 8 2026 42139947

Ventral hernia repair in emergency settings. A machine learning model to predict post-operative complications.

BACKGROUND: Emergency ventral hernia repair remains a challenging procedure due to patient instability, contaminated surgical fields, and heterogeneity in hernia types and operative techniques. Predicting postoperative complications in this setting is difficult using traditional statistical methods. Machine learning (ML) may offer improved predictive accuracy by recognizing nonlinear patterns amon...

May 8 2026 42100981
Reconfigurable Adaptive Synapse and Logic Device by Ambipolar Ferroelectric Semiconductor.

Dynamic control in artificial intelligence hardware is increasingly emphasized for the co-integration of learning and computing. However, existing app...

May 8 2026 42101176
[Use of artificial intelligence for next-gen anamnesis and communication in orthopedics & trauma surgery : From chatbots to ambient intelligence].

BACKGROUND: Against the backdrop of increasing patient volumes, rising case complexity, and physicians' limited time, AI-driven systems for anamnesis,...

May 8 2026 42101673
Artificial intelligence-assisted diagnosis and subtype differentiation of infectious keratitis.

BACKGROUND: Infectious keratitis (IK) is a major cause of corneal blindness world-wide, and prompt identification of IK and its etiologic subtype is e...

May 8 2026 42104023
dAMN: a genome-scale neural-mechanistic hybrid model to predict bacterial growth dynamics.

SUMMARY: This study presents dAMN, a genome-scale neural-mechanistic hybrid model that combines neural networks with dynamic flux balance analysis to ...

May 8 2026 42104120
Arctic deep-sea hydrothermal microbiomes as a natural niche for novel antimicrobial peptides.

BACKGROUND: The escalating threat of antimicrobial resistance (AMR) has created an urgent need for new antimicrobial agents. Antimicrobial peptides (A...

May 8 2026 42104260
Agentic GPT-5.0 system outperforms standard large language models and human experts in critical care clinical decision-making: a simulation study.

BACKGROUND: Agentic artificial intelligence (AI) systems employing multi-model architectures with iterative reasoning may surpass standard single-mode...

May 8 2026 42104391
Limited 'heft' of weight-based outcomes in predicting influenza A virus disease severity in ferrets.

Studies evaluating viral pathogenicity in small mammalian models often quantify disease severity using the magnitudes of temperature rise and weight l...

May 8 2026 42102174
Metabolomics and Artificial Intelligence (AI) assisted metabolomics in the diagnosis of non-tuberculous mycobacterial infections: progress and challenges.

BACKGROUND: Non tuberculous mycobacterial (NTM) infections are caused in individuals who are immunocompromised or with certain lung conditions. The NT...

May 7 2026 42179456
Emerging Therapeutic Paradigms in Tuberculosis: Nanocarriers, Host-Directed Strategies, and Translational Pharmacology.

TB remains a significant global health burden due to protracted therapeutic courses, poor patient compliance, and toxicities associated with drug trea...

May 7 2026 42105930
Managing multidrug resistant Gram-negative bacteraemia in immunocompromised hosts.

PURPOSE OF REVIEW: Multidrug-resistant Gram-negative bloodstream infections (MDR-GNBSI) are increasingly frequent in immunocompromised hosts, particul...

May 7 2026 42107119
Identification of sepsis subphenotypes: current methods and clinical implications in critical care practice. A structured narrative review.

Sepsis demonstrates high variability in clinical manifestations, and patients with similar manifestations at the moment of diagnosis usually develop i...

May 7 2026 42099253
Klf4-Tymp axis promotes inflammation-driven early tumorigenesis by enhancing kras mutation-induced acinar-to-ductal metaplasia through Pi3k/Akt and Mek/Erk pathways.

BACKGROUND: Acinar-to-ductal metaplasia (ADM) is a pivotal step in pancreatic tumorigenesis, reversible in normal contexts but progressing to PanIN an...

May 7 2026 42092950
BERT-T6: Toward High-Accuracy T6SS Bacterial Toxin Identification Using a Protein Language Model.

Type VI secretion system effectors (T6SEs) are key virulence factors that disrupt critical cellular components in target cells, facilitating bacterial...

May 7 2026 42095236
KEGG orthology-based machine learning reveals functional determinants of antimicrobial resistance in Acinetobacter baumannii.

UNLABELLED: Antimicrobial resistance represents a critical global health threat, with Acinetobacter baumannii classified as a priority pathogen due to...

May 7 2026 42095666
Machine Learning-Based Prediction Model for Infectious Complications in Trauma and Its Association With In-Hospital Mortality.

BACKGROUND: Infectious complications, such as sepsis or catheter-related infections, are common and serious sequelae after trauma. Despite their clini...

May 7 2026 42095768
An integrated AI-driven vaccine design process: a systematic review of workflows from generative design to translational prediction.

Traditional vaccine development faced significant hurdles, including lengthy timelines and high costs, which hindered rapid responses to pathogens. Al...

May 7 2026 42095951
Portable Electrochemiluminescence Microarray Sensor for Machine Learning-Assisted Quantitative Analysis of Zearalenone.

Zearalenone (ZEN) is an estrogenic mycotoxin produced by Fusarium fungi and is widely present in cereal-based foodstuffs including wheat, rice, and ma...

May 7 2026 42096180
Artificial intelligence algorithm for real-time detection and counting of Trypanosoma cruzi parasites using smartphone microscopy.

Chagas disease affects 6-7 million people worldwide and causes approximately 12,000 deaths annually. Diagnostic methods vary by disease stage, with se...

May 7 2026 42096492
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