Infectious Disease

A geometric deep learning framework for genome-wide prediction of enzyme turnover number.

BACKGROUND: Enzyme turnover numbers (Kcat) are fundamental kinetic constants that quantify enzymatic efficiency. Systematic studies of Kcat are essential for characterizing the mechanisms underlying proteomic composition and cellular metabolism. However, experimental measurements of Kcat remain limited and prone to noise. RESULTS: To address this, we present KcatNet, a geometric deep learning mode...

epiGPTope: A Machine Learning-Based Epitope Generator and Classifier.

Epitopes are short antigenic peptide sequences that are recognized by antibodies or immune cell receptors. These are central to the development of immunotherapies, vaccines, and diagnostics. However, the rational design of synthetic epitope libraries is challenging due to the large combinatorial sequence space, 20n combinations for linear epitopes of n amino acids, making screening and testing unf...

Comparison and validation of multiple machine learning algorithms for predicting MDRO infection in catheter-related bloodstream patients: a multicenter cohort study.

UNLABELLED: Early identification of patients at high risk for multidrug-resistant organism (MDRO) infection in catheter-related bloodstream infection ...

Deep Temporal Sequence Classification and Mathematical Modeling for Cell Tracking in Dense 3D Microscopy Videos of Bacterial Biofilms.

Automatic cell tracking in dense environments is plagued by inaccurate correspondences and misidentification of parent-offspring relationships. In thi...

Machine learning assisted malaria detection using photonic crystal fibre optical sensors.

Strategies for Safer Cefepime Use to Prevent Neurotoxicity Using the Electronic Health Record.

Cefepime, a cornerstone antibiotic in critical care, is associated with underrecognized cefepime-induced neurotoxicity (CIN), particularly in patients...

Infectious disease diagnosis by artificial intelligence (AI): Differences in patient backgrounds and symptoms between antigen test positives and novel AI-powered pharyngeal endoscopy test positives.

This study aimed to identify differences in patient background and symptoms between individuals who tested positive using conventional rapid antigen (...

Molecular docking approaches in mycetoma: Toward improved patient management.

Mycetoma is a neglected tropical disease characterised by chronic, granulomatous inflammation of the subcutaneous tissues, often leading to disfigurem...

Metabolomics-guided machine learning reveals diagnostic and mechanistic biomarkers in CHB with MASLD.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) often coexists with chronic hepatitis B (CHB), yet early diagnosis remain...

Multi-model large-scale AI framework for avian influenza surveillance and preparedness: Harnessing large language models to enhance risk communication, real-time decision support, and public health response strategies.

Avian influenza remains a persistent threat to global health security, with serious consequences for food systems, trade, and pandemic preparedness. T...

Artificial intelligence and diagnosis and management of tuberculosis disease in children.

PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdTB) remains quite challenging, especially in areas ...

Unveiling hidden variables in stressed bacteria.

Phenotypic heterogeneity is a defining feature of bacterial stress responses, long framed as irreducible noise arising from stochastic molecular event...

Predictive modeling of molecular activity underlying physical cell-cell interactions.

Interactions between cells are central to tissue organization and function in health and disease. Labeling immune partnerships by sortagging intercell...

Evaluation of KU-F40 automated microscope for parasitology: when artificial intelligence meets old school microscopy.

Intestinal parasitic infections (IPIs) have a worldwide distribution and have a major impact on health, work capacity, and economy in many countries. ...

Mechanism of Ag+-Induced Folding of a Bacterial Peptide from Replica-Exchange Molecular Simulations.

Interactions between proteins and metal cations are central to biochemical processes and shape protein structures. SilE, an intrinsically disordered p...

Practical machine learning model for early and accurate prediction of disseminated intravascular coagulation before its progression to an overt stage.

BACKGROUND AND AIMS: In patients with sepsis, anticoagulant therapy is expected to have maximal efficacy when administered before the development of s...

Novel convolutional neural network for bacterial identification of confocal microscopic datasets.

Artificial intelligence (AI), complex mathematical algorithms, is currently employed across various fields to perform tasks quickly and effectively. I...

A multi-phase, multi-method assessment of national COVID-19 vaccination performance with equity analysis.

Perceived safety during human-robot interaction with an autonomous mobile robot.

Autonomous mobile robots (AMRs) are being rapidly implemented in the manufacturing and warehousing industries. Research could help enhance our underst...

Validation of intensive care unit predictive scoring systems in West Africans.

Intensive care unit(ICU) predictive scoring systems (PSS) are valuable in predicting outcomes in the ICU. However, they have not been validated in man...