COVID-19

Artificial intelligence powered decoding of Plasmodium falciparum sporozoite motility patterns.

Sporozoites (SPZ), the infective mosquito stage of Plasmodium falciparum malaria, are widely studied as therapeutic targets for antibodies either endogenously induced by vaccines or administered as exogenous monoclonal antibody treatment. The unicellular protozoa are highly motile and adapted to migrate through tissues, facilitating the transition from mosquito-based skin inoculation to the infect...

Techniques, Performance, and Feasibility of Natural Language Processing for Abstract Screening in Evidence Synthesis: A Systematic Review.

BACKGROUND: Natural language processing (NLP) techniques offer promising solutions for semi-automating the time-consuming process of abstract screening in systematic reviews. The exponential growth of published literature has created significant bottlenecks, with review teams manually assessing thousands of abstracts over weeks to months. Single reviewers can miss 5-13% of relevant studies, necess...

BoltzOmics: Predicting genetic variant effects on drug binding with Boltz-2.

A mechanistic understanding of how genetic variants alter drug-receptor binding is central to precision medicine, drug response prediction, and drug d...

Identification of lactylation-related genes associated with heart failure via bioinformatics and machine learning approaches.

BACKGROUND: Heart failure (HF) is the terminal stage of cardiovascular disease with high global prevalence and poor prognosis. This study aimed to ide...

Cancer Vaccine Development: Toward Artificial Intelligence-Assisted Personalized Cell Membrane Nanovaccine.

Cancer vaccines are an attractive immunotherapeutic approach, and numerous clinical trials are ongoing. However, most candidates have not achieved sta...

Development and internal validation of an interpretable machine learning model using routine laboratory data for systemic sclerosis-associated pulmonary arterial hypertension.

This study aimed to develop and validate an interpretable machine learning (ML) model using routine laboratory data to support clinical decision-makin...

Structure and evolution-guided design of minimal RNA-guided nucleases.

The design of RNA-guided nucleases with properties not limited by evolution can expand programmable genome-editing capabilities. However, generating d...

Antibody-Free SPR Detection of Human Myoglobin in Serum by a Sandwich Configuration of Epitope-Imprinted Nanofilms and Nanoparticles.

Designing robust, fully synthetic receptors capable of selective protein detection remains critical for advanced clinical diagnostics. Molecularly imp...

Next-generation precision oncology in microsatellite stable colorectal cancer: integrated targeting beyond RAS and RAF.

The therapeutic landscape of colorectal cancer (CRC) has evolved with the identification of molecular subtypes, including mismatch repair-deficient/mi...

DARMN: Domain-Aware Residual Feature Modulation Network for Multidomain Protein Dynamic Inter-Residue Contact Prediction.

The regulation of conformational stability in multidomain proteins (MDP) is a central challenge in protein engineering with major implications for ant...

RCAF for patient-level thyroid ultrasound malignancy prediction under leakage-free evaluation and calibration.

Accurate differentiation between benign and malignant thyroid nodules on ultrasound remains clinically important, yet interpretation is operator-depen...

The Impact of Social Media and Artificial Intelligence on Illness Perception and Treatment Adherence in Patients With Rheumatic Diseases.

BACKGROUND/OBJECTIVE: In the wake of the COVID-19 "infodemic," patients increasingly turn to social media (SM) and artificial intelligence (AI) for he...

Smart nanoparticle vaccines integrate nanotechnology artificial intelligence and immunoengineering for precision immunization.

The rise of multidrug-resistant microbes, rapidly evolving viruses, and recurring pandemics underscores the urgent need for advanced vaccine technolog...

Detection of bronchopulmonary dysplasia in infants and prediction of school-age lung function from tidal breathing data using recurrent neural networks.

Objective.To test whether machine learning (ML) models trained on tidal breathing flow time series can discriminate between individuals with and witho...

An encyclopedia of human enhancer-gene regulatory interactions.

Identifying transcriptional enhancers and their target genes is essential for understanding gene regulation and the effect of human genetic variation ...

Circulating T-cell phenotypes are influenced by prior Staphylococcus aureus exposure in hemodialysis patients.

Staphylococcus aureus bloodstream infections are a significant risk for hemodialysis patients, who would significantly benefit from a preventative vac...

Multi-Omics Framework Integrating Genetics, Microbiome, Metabolism, and Immunity for Deciphering Ulcerative Colitis Pathogenesis and Diagnostic Biomarker Discovery.

Ulcerative colitis (UC) is an inflammatory bowel disease involving complex interactions between genetics, gut microbiota, metabolism, and immunity. Th...

Neurophysiological EEG Characterization of Autism Spectrum Disorder Using DWT-Based Frequency Analysis With Selective Electrodes and Brain Segmentation: An Explainable AI-Driven Approach.

Autism Spectrum Disorder (ASD) diagnosis benefits from the technical analysis of neural oscillations. The objective identification of Autism Spectrum ...

Integrating MRI radiomics and deep learning for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer: a multicenter study.

OBJECTIVE: Develop a multimodal fusion model combining MRI radiomics and deep learning (DL) to predict pathologic complete response (pCR) in breast ca...

XMCQDPT2-fidelity transfer-learning potentials and a wavepacket oscillation model for ultrafast photodynamics.

The accurate simulation of photochemical reactions requires methods that capture nonadiabatic transitions through conical intersections between differ...