Latest AI and machine learning research in infectious disease for healthcare professionals.
Malaria remains a critical global health crisis, placing a disproportionate burden on children under five in Uganda. To transition from broad surveillance to targeted intervention, this study applies interpretable machine learning to identify key socioeconomic predictors of malaria using the 2018-2019 Uganda Malaria Indicator Survey. By employing Random Forests for feature selection and Decision T...
Many problems in biomedicine can be posed as binary classification. When they are addressed using artificial intelligence methods, though, average performance alone does not show whether a dataset is artificial intelligence ready, whether the endpoint is clinically valid, or whether errors are unevenly distributed across patient subgroups. This article presents the Fairness-Aware Data Orchestratio...
OBJECTIVES: Large language models (LLMs) are increasingly proposed as clinical decision-support tools; however, their agreement with real-world multid...
PURPOSE OF REVIEW: Many antimicrobials used in critically ill patients are predominantly eliminated by the kidneys. Optimizing dosing in this populati...
Rapid and reliable detection of biological agents is crucial in both military and civilian contexts. Here, we present a promising field-deployable app...
BACKGROUND: Reliable identification of wheelchair users in public environments is an important enabling technology for assistive systems that aids ind...
Heterocyclic scaffolds are vital to medicinal chemistry due to their versatility, diversity, and ability to target various biological molecules. This ...
Sepsis is a life-threatening condition that can be fatal. Advances in big data analytics and the data-rich environment of intensive care units have en...
BACKGROUND: Early recognition of severe imported malaria is essential because treatment decisions frequently need to be made before reliable parasite ...
BACKGROUND: Viral communities of the upper aerodigestive tract represent an important component of the human microbial ecosystem but remain poorly cha...
SARS-CoV-2 variants continue to threaten public health, necessitating the study of cumulative and epistatic effects of receptor-binding domain (RBD) m...
Despite decades of intensive research and substantial clinical gains, malaria remains a major global health challenge exacerbated by the continued eme...
Excessive reliance on validation performance during model selection can lead to validation overfitting (VO), where models appear effective during deve...
Artificial Intelligence (AI) has become a fundamental driver of scientific progress, particularly in disease diagnosis, drug development, and drug del...
BACKGROUND: Lyme disease, a vector-borne zoonosis caused by Borrelia species, is classified into early localized and late disseminated infection. Left...
Proteins are often optimized for single functions during design and engineering without the consideration of other functionalities that may interfere ...
Transposable elements (TEs) are mobile, repeated DNA sequences whose evolutionary relationships with host genomes span the full spectrum from parasiti...
Mpox virus (MPXV) poses an increasing global health threat, as underscored by two World Health Organization declarations of Public Health Emergencies ...
BACKGROUND: Renal transplantation is the preferred treatment for end-stage chronic kidney disease but requires lifelong immunosuppression, increasing ...
BACKGROUND: Bloodstream infections (BSIs) caused by Klebsiella pneumoniae pose a significant global health burden, complicated by rising antimicrobial...