Latest AI and machine learning research in infectious disease for healthcare professionals.
Malnutrition still affects millions of children in Africa. Changes in the gut microbiome have been implicated in malnutrition, but there has been inconsistent nomenclature of microbes. This meta-analysis reviews the microbiome literature using natural language processing (NLP) methods. We searched PubMed for gut microbiome studies of undernourished children living in low-middle-income countries (L...
This paper reflects on the development and performance of an advanced artificial intelligence (AI) algorithm for the automated processing and classification of Gram stain images obtained from actual microbiology samples used in clinical microbiology. The aim of the project was to effectively categorize non-standardized Gram stain images into the six most common categories: Gram-negative rods, Gram...
This work introduces a modular, open-source computational pipeline for glioblastoma (GBM) vaccine design that integrates omics-based OIP5 target disco...
Oral squamous cell carcinoma (OSCC) progression has been increasingly linked to dysbiosis of the oral microbiome. We hypothesized that pathogenic vers...
Plasmids are central to modern biotechnology, especially therapeutic development, yet their propagation in Escherichia coli remains difficult to predi...
Tuberculosis (TB) remains a leading global health threat, with over 10 million new cases and 1.25 million deaths reported in 2023. Current TB therapie...
Protein-protein interactions (PPIs) are essential for the study of cellular function, yet computational prediction of bacterial PPIs remains limited. ...
Designing minimal bacterial genomes remains a key challenge in synthetic biology. There is currently a lack of efficient tools for the rapid generatio...
Microbial growth dynamics contain rich information about microbial populations, which support applications from antibiotic testing to microbiome engin...
VHH discovery traditionally relies on animal immunization or large-scale library screening, methods that are slow, costly, and often ineffective for c...
Metagenomes from complex environments such as soil contain vast biodiversity, yet most short reads cannot be taxonomically or functionally annotated b...
This study investigates the use of reinforcement learning (RL) to model antimicrobial resistance (AMR) dynamics driven by copper exposure. In a simula...
Autophagy is a dynamic intracellular process that is essential in maintaining cellular homeostasis. Its potential as a therapeutic target is exemplifi...
mRNA design plays a central role in synthetic biology, nucleic acid therapeutics, and vaccine development. Although large language models are applied ...
Hypertension is a major risk factor for cardiovascular diseases, with changes in gut microbiota composition and function being closely associated with...
Immunological aging (immunosenescence) drives increased susceptibility to infections and reduced vaccine efficacy in elderly populations. Current bulk...
With the growing pervasiveness of pre-trained protein large language models (pLLMs), pLLM-based methods are increasingly being put forward for the pro...
Predicting antibacterial drug synergy remains difficult due to strain variability and the limited scale of experimentally tested combinations. Existin...
New systematic profiling of drug effects is in urgent demand due to limitations in existing drug assessment approaches to evaluate comprehensive drug ...
Accurate prediction of ligand-bound protein complexes and ranking them by affinity are central problems in drug discovery. While deep learning co-fold...