Infectious Disease

Species-specific discrimination of bacterial biofilms using a ratiometric fluorescence sensor array and machine learning.

Biofilms are intricate bacterial communities encased in a self-produced extracellular matrix (ECM) of DNA, lipids, proteins, and polysaccharides. The diverse ECM composition across bacterial species significantly influences the progression of biofilm-associated infections, making precise identification crucial for effective treatment. Traditional methods such as biochemical assays, MALDI-TOF mass ...

Toward indole postbiotics precision therapy via AI-powered drug delivery technologies.

Recent advancements in microbiome research have revealed the restorative capacities of postbiotics, including indole and its derivatives generated via bacterial tryptophan metabolism. Widespread in prokaryotic and eukaryotic communities, indole and its derivatives are uniquely suited to promote host physiology and homeostasis at the host/microbe interface. In addition to suppressing the bacterial ...

Structure-Based Classification of CRISPR/Cas9 Proteins: A Machine Learning Approach to Elucidating Cas9 Allostery.

The CRISPR/Cas9 system is a powerful gene-editing tool. Its specificity and stability rely on complex allosteric regulation. Understanding these allos...

Patients visits forecasting in emergency departments: Self-adapting LSTM models for evolving data distributions.

BACKGROUND AND OBJECTIVE: Overcrowding in emergency departments (EDs) remains a critical challenge in healthcare systems. Accurate forecasting of pati...

Zoonoticus: A machine learning model for genomic prediction of zoonotic bacterial strains using virulence, resistance, and mobile genetic elements.

Zoonotic diseases continue to rise globally, yet no existing genomic tool integrates virulence, antimicrobial resistance (AMR), and mobile genetic ele...

The application of machine learning in the evaluation of urinary tract infections incidence in patients in a Nursing and Treatment Facility.

BACKGROUND: Urinary tract infection (UTI) is a serious problem in the healthcare system. It is caused by bacteria from the gastrointestinal tract. The...

Letter to the editor: "How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a behavioural artificial intelligence technology (BAIT) approach".

Behavioural Artificial Intelligence Technology (BAIT) has recently been proposed to codify expert reasoning for sepsis surveillance. We provide prelim...

Bioelectrochemical mitigation of soil antibiotic resistance: Disruption of bacteriophage transmission and resistant hosts.

The proliferation of antibiotic resistance genes (ARGs) in environment poses a threat to global public health. Although microbial fuel cell (MFC) has ...

Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors.

BACKGROUND: Dengue fever is a major global health concern, with Brazil experiencing recurrent and severe outbreaks due to its favorable climate factor...

Modeling and forecasting vibrio vulnificus concentration of long-range dependence on marine environmental conditions.

Vibrio vulnificus (vvh) is an epidemiologically significant bacterium that naturally occurs in coastal waters under favorable environmental conditions...

Algal-bacterial granular sludge process for sustainable wastewater treatment: Technological advances and challenges.

The algal-bacterial granular sludge (ABGS) process is a promising solution for sustainable wastewater treatment, owing to its synergistic contaminant ...

Numerical approximation of fractional order HIV/AIDS model with treatment using Levenberg-Marquardt backpropagation approach.

HIV specifically targets the immune system's T cells, mainly the CD4+ T cells, leading to a chronic and severe illness characterized by a long incubat...

An interactive and explainable AI approach to improve human-machine teaming in cancer subtyping from digital cytopathology.

Algorithmic decision support is rapidly becoming a staple of personalized medicine, particularly for high-stakes recommendations such as cancer subtyp...

Nanomotion-based technology for rapid antibiotic susceptibility testing among adult patients admitted to a tertiary-care hospital with Gram-negative bacteraemia: a prospective, single arm, comparative diagnostic accuracy study.

OBJECTIVE: Investigate performances and turnaround time of Resistell Phenotech antibiotic susceptibility testing (AST), a device using the new nanomot...

Diagnosis of Acute, Chronic (with and without Nasal Polyps), and Fungal Sinusitis.

Rhinosinusitis is a spectrum of diseases with varied causes, presentations, and diagnostic approaches-from viral and bacterial acute rhinosinusitis to...

Ark+: Supervised training a single high-performance AI foundation model from many differently labeled datasets-no label consolidation required.

This article presents a methodological breakthrough in supervised learning for training a single, robust, and high-performance artificial intelligence...

Application of machine learning models in predicting malaria prevalence in Nigeria: an analysis of the 2015-2020 demographic and health surveys.

UNLABELLED: Malaria is a major public health problem, especially in sub-Saharan Africa and other developing countries, where majority of malaria cases...

Detection of kochia [Bassia scoparia (L.) A.J. Scott] and waterhemp [Amaranthus tuberculatus (Moq.) J.D. Sauer] in sugarbeet field using hyperspectral imaging and deep learning technologies.

BACKGROUND: Kochia [Bassia scoparia (L.) A.J. Scott] and waterhemp [Amaranthus tuberculatus (Moq.) J.D. Sauer] are among the most aggressive and compe...

Letter to the Editor: "A risk-adjusted length of stay to evaluate severe community-acquired pneumonia (sCAP) outcomes: A machine learning analysis of 16,985 ICU admissions".

scMapNet: Marker-based cell type annotation of scRNA-seq data via vision transfer learning with tabular-to-image transformations.

INTRODUCTION: Identifying cell types is a key step in single-cell RNA sequencing data analysis that aids in understanding cellular heterogeneity and f...