Infectious Disease

Convolutional neural networks quantify antibiotic resistance in Mycobacterium tuberculosis with diagnostic grade accuracy and predict treatment response.

There is considerable interest in training machine learning (ML) models on genomic data that achieve...

Influenza forecasting method based on dual-chan nel feature fusion of VMD decomposition.

Accurate influenza forecasting is critical for timely public health responses and resource allocatio...

Predicting the evolutionary and structural compensation in Tat ARM region across HIV-1 groups using machine learning approach.

Predicting cervical cancer among women living with HIV/AIDS at public health facilities in a resource-limited setting in Ethiopia using machine learning analysis.

Whole-genome sequencing and machine learning reveal candidate genomic features associated with Listeria monocytogenes persistence in two ice cream facilities.

Listeria monocytogenes is a major foodborne pathogen responsible for listeriosis. Ice cream has emer...

The promise of AlphaFold for gene structure annotation.

Most new genomes lack annotation, automated methods are error-prone, and few genomes are ever manual...

Dissecting serum polyclonal antibody escape to SARS-CoV-2 variants by deep mutational learning.

Deep mutational scanning (DMS) has been extensively used to investigate how single-position mutation...

Leveraging large language models for metabolic engineering design.

Establishing efficient cell factories involves a continuous process of trial and error due to metabo...

PhaBOX2: an enhanced web server for discovering and analyzing viral contigs in metagenomic data.

Metagenomic sequencing has transformed virus discovery; however, downstream bioinformatic analyses f...

YeastSAM: A Deep Learning Model for Accurate Segmentation of Yeast Cells.

Cell segmentation-the process of defining cell outlines in microscopy images-is essential for quanti...

Classifying Post-COVID "Brain Fog" Patients and Identifying Key ROIs via Graph Neural Network Model.

Brain fog has raised significant public health concerns as a common neurocognitive impairment in the...

Updates on tuberculosis imaging.

Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major...

Advances in molecular diagnostic strategies during the SARS-CoV-2 pandemic.

INTRODUCTION: The SARS-CoV-2 pandemic provided critical insights into pandemic preparedness. The com...

In silico discovery of nanobody binders to a G-protein coupled receptor using AlphaFold-Multimer.

Antibodies are central mediators of the adaptive immune response, and they are powerful research too...

SyntheMol-RL: a flexible reinforcement learning framework for designing easily synthesizable antibiotics.

The rise of antibiotic-resistant pathogens such as Staphylococcus aureus has created an urgent need ...

Decision-support system for live detection of Leishmania parasites from microscopic images with deep learning.

A hybrid ensemble approach: fusing ANFIS, LSTM, and LSSVM with PSO for enhanced influenza a forecasting.

Modelling the epidemic dynamics of HPV among women in China and optimization of ongoing cervical cancer elimination strategies.

BACKGROUND: The infection of high-risk human papillomavirus (hr-HPV) and related cervical cancer hav...

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and ...

Using a large language model artificial intelligence agent to improve the efficiency of clinical quality measure evidence evaluation: a case study.

OBJECTIVES: To evaluate the feasibility and performance of a large language model (LLM)-based artifi...

Integrating theory and machine learning to reveal determinants of plasmid copy number.

Plasmids are extrachromosomal mobile genetic elements whose copy numbers (PCNs) critically influence...