Latest AI and machine learning research in infectious disease for healthcare professionals.
This study applied data-driven machine learning to optimise the generation of meaty flavour from Maillard-reaction-derived nutritional yeast hydrolysates. Conventional flavour development relies heavily on empirical expertise, limiting efficiency and generalisability. In this study, a Multi-Task Bayesian Optimisation (MTBO) framework integrating gas chromatography-mass spectrometry and descriptive...
Surface-enhanced Raman spectroscopy (SERS) is a powerful laser-based technique with high sensitivity and rapid detection. The present study aimed to establish a model for distinguishing Mycobacterium abscessus (nontuberculous mycobacteria; NTM) from M. tuberculosis H37Ra (MTB-H37Ra; a nonvirulent strain) based on genomic DNA detection, as well as distinguishing M. abscessus subspecies abscessus (M...
BACKGROUND: Monitoring antibiotic consumption and resistance is central to antimicrobial stewardship (AMS). However, this is particularly challenging ...
INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of morbidity and mortality. Although extensive clini...
Extracellular vesicles (EVs) have emerged as promising biomarkers for liquid biopsy. However, their clinical detection is hampered by heterogeneity an...
BACKGROUND: Application of machine learning with matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry may allow ra...
BACKGROUND: Urogenital schistosomiasis caused by Schistosoma haematobium remains endemic in sub-Saharan Africa. Diagnosis traditionally relies on urin...
BACKGROUND: Health professions education faces increasing challenges from rising health care complexity, pedagogical shifts, and constrained curricula...
Two vaccines are currently licensed against Plasmodium falciparum malaria but offer only partial protection that wanes, necessitating repeated dosing ...
BACKGROUND: Long COVID affects a substantial proportion of the over 778 million individuals infected with SARS-CoV-2, yet predictive models remain lim...
Antimicrobial peptides (AMPs), as key targets for novel anti-infection therapy, have made their efficient and precise identification technology a crit...
BACKGROUND: Surgical site infection after cardiac surgery is a common cause of morbidity and unplanned healthcare use, with most infections developing...
The global rise of antimicrobial resistance (AMR), particularly methicillin-resistant Staphylococcus aureus (MRSA), poses a major health challenge, de...
Explainable artificial intelligence (XAI) methods for molecular property prediction lack standardized evaluation criteria, preventing widespread deplo...
Oral biofilm-induced antimicrobial resistance is the core pathogenic mechanism of microbiome-associated oral infectious diseases (dental caries, perio...
Ultrafast Doppler imaging provides critical insights into tissue perfusion but traditionally requires long acquisitions and computationally expensive ...
We, the PTMeXchange Consortium, present a meta-analysis of eight high-quality data sets to map 56,694 phosphosites in brewer's yeast (Saccharomyces ce...
IMPORTANCE: Mortality among children and young adolescents receiving antiretroviral therapy (ART) remains substantially higher in resource-limited set...
Acute infectious diseases, particularly lots of neglected tropical diseases (NTDs), pose significant public health challenges, especially in resource-...
OBJECTIVE: This study aims to evaluate the cost-effectiveness of latent tuberculosis infection (LTBI) screening strategies using interferon-gamma rele...