Latest AI and machine learning research in infectious disease for healthcare professionals.
The rapid global spread of antimicrobial resistance (AMR) has placed unprecedented pressure on clinical decision-making. Machine learning predictors of antibiotic susceptibility exist, but their lack of mechanistic grounding limits credibility. We present BacteReason, a reasoning large language model (LLM) that predicts bacterial susceptibility to a target antibiotic, together with a mechanistic r...
Light microscopy of tissue sections stained with hematoxylin and eosin (H&E) has been the foundation of histopathology for over 150 years and remains essential for diagnosis and research. The development of high-plex spatial profiling approaches able to measure protein and RNA expression at single-cell resolution augments but does not replace H&E imaging, even in research. Computational pathology ...
Background: The expansion of biomedical literature demands systematic ontology-guided discovery of gene interactions, vaccine mechanisms, drug associa...
Identifying robust biomarkers from high-dimensional biomedical data is a central challenge in translational research, but candidate rankings produced ...
We introduce pVR, a topological machine learning framework for alignment-free genomic sequence classification that combines $p$-adic numbers with topo...
Abstract Background: Kaposi sarcoma (KS) is the most common cancer among men in several Eastern African countries, yet treatment monitoring relies on ...
Childhood diarrheal disease remains a leading cause of morbidity and mortality among children under five years in sub-Saharan Africa, particularly in ...
Effective filtration and concentration of stool specimens is an essential pre-analytical step for reducing fecal debris and improving organism recover...
Vibrio natriegens is a halophilic, Gram-negative marine bacterium that is increasingly used in metabolic engineering applications due to its fast grow...
Identifying the origin of an emerging epidemic wave within days of onset could enable targeted response before national spread, yet current methods re...
Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. However, PrEP impact depends on addressing persisten...
Background: Accurate estimation of childhood diarrheal disease burden in Africa remains challenging because of limited surveillance, incomplete mortal...
Assigning functions to genes remains a major challenge in biology, as a large fraction of genes remain unannotated despite the availability of complet...
Peptides carrying special connections such as macrocyclizations and various other structural modifications constitute a major class among peptide ther...
Background: Sepsis is a life-threatening condition in which delayed recognition and treatment are associated with increased mortality. While predictiv...
Background Bacterial fitness is shaped by interactions between genome variation and environmental context, yet how these interactions determine its pr...
Gut bacteria shape the metabolism of their host and play an important role in human health. However, systems biology approaches to study their intrace...
Background: Bioinformatic tools often require the prediction of protein-coding genes to make inferences about prokaryotic genomes. Typically, the gene...
Noncoding regulatory variants contribute to colorectal cancer (CRC) susceptibility, yet their functional interpretation remains difficult.This is main...
Andes orthohantavirus (ANDV), the primary etiological agent of hantavirus pulmonary syndrome (HPS) in South America, is uniquely capable of limited hu...