Infectious Disease

Vit-Ensemble: Probabilistic voting based ensemble of Vision Transformers for tuberculosis detection using radiographs.

Tuberculosis (TB) detection from chest X-ray (CXR) images remains a critical challenge in global hea...

Explainable Convolutional Neural Networks for the identification of the Ampullariidae genus.

Invasive freshwater snails of the family Ampullariidae present significant threats to agriculture, b...

Influence of typical anions in brackish water on synergistic remediation of Vanadium(V) by coffee grounds and Ryegrass: Machine learning modeling and co-occurrence network analysis.

Brackish water is widely distributed and highly overlaps with areas contaminated by vanadium (V), pr...

Effective alternative strategies to combat challenges associated with MDR bacterial infections: Drug repurposing, role of artificial intelligence, and novel therapeutic options.

Antibiotic failure has emerged as a critical global health concern, driven by a combination of facto...

AI-designed PNA-peptide chimera overcomes suboptimal binding for dual inhibition of viral RdRp.

The chimera combining the peptide nucleic acids (PNAs) and peptides represent a promising bifunction...

Ligand-based prediction of anti-bacterial compounds: Overcoming class imbalance in molecular data.

In the emergence of pan-drug-resistant bacteria, there is an urgent demand for the discovery of stru...

Authors reply: "How do experts classify sepsis cases for sepsis surveillance? Lessons learned from a Behavioural Artificial Intelligence Technology (BAIT) approach".

Predictive surveillance and diagnosis of COVID-19: An integrative machine learning and wastewater multi-omics approach.

COVID-19 has had major global impacts, highlighting the importance of robust predictive surveillance...

From wastewater to epidemiological insights: A systematic review of modeling strategies for infectious disease surveillance.

Wastewater-based epidemiology (WBE) has emerged as a promising complementary tool in infectious dise...

Homogeneous multi-antibiotics residual identification in various actual water via SERS spectra multilayer perceptron algorithm combined with Gaussian kernel density estimation data augmentation.

BACKGROUND: Antibiotic residues pose varying degrees of potential hazards to the water environment a...

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) o...

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 comple...

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 i...

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, anti...

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 cause...

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 re...

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 publ...

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 se...

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 wastewate...

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 ...

Association of Deep Learning Imaging Algorithm Measures of Microbial Keratitis With Vision Outcomes.

PURPOSE: To compare associations between 90-day vision and microbial keratitis-related corneal chang...