HIV/AIDS

Machine learning derived ORC6 as a hub biomarker for predicting tumor microenvironment, prognoses, and therapeutic responses in lung adenocarcinoma.

The origin recognition complex (ORC) is a DNA-binding complex composed of six subunits involved in DNA replication in cancer cells. The prognostic and immunological implications of ORC6 in lung adenocarcinoma (LUAD) are not yet clear. This study utilizes multiple databases (such as TCGA, GEO, GTEx, etc.) to investigate the potential significance of ORC6 in LUAD. The results show that high ORC6 exp...

Co-localization analysis of spatial transcriptomics in ligand-receptor pairs from tumor microenvironment.

Ligand-receptor pair analysis, a key aspect of cell-to-cell interactions, is vital for understanding physiological and pathological processes in organisms. However, most analytical tools fail to incorporate spatial in situ information, resulting in false positive predictions. Spatial transcriptomics, which integrates gene expression data with cellular localization, has emerged as a powerful method...

Challenges and Opportunities for Improved Tuberculosis and HIV Prevention in South America.

Tuberculosis (TB) and human immunodeficiency virus (HIV) cause significant morbidity and mortality in South America. Despite the advances in active ca...

TF-VSF: A Novel Training-Free Visual-Semantic Fusion Rare Medical Morning Glory Syndrome Diseases Severity Assessment Method.

Medical morning glory syndrome (MGS) is a rare congenital disease. Approximately 50% of MGS patients present with retinal detachment. Widespread scree...

Corticomorphic Hybrid CNN-SNN Architecture for EEG-Based Low-Footprint Low-Latency Auditory Attention Detection.

PURPOSE: In the context of a multi-speaker "cocktail party" scenario where listeners selectively focus on specific speakers, human auditory attention ...

Development and Validation of a Machine Learning-Based Nomogram for Predicting Severe Pneumocystis jirovecii Pneumonia in Kidney Transplant Recipients.

BACKGROUND Pneumocystis jirovecii pneumonia (PJP) is a life-threatening opportunistic infection in kidney transplant recipients (KTRs). Early identifi...

The Integration of a Diplomacy Lab in a Registered Nurse to Bachelor of Science in Nursing Research and Informatics Course: A Qualitative Study.

BACKGROUND: Nursing education requires innovative models to prepare practice-ready nurses with global health competencies and real-world research expe...

The iterative shrinkage thresholding algorithm reveals dynamic aging trajectories of human T lymphocytes via multidimensional spectral flow cytometry analysis.

Immunosenescence is a fundamental hallmark of aging, characterized by differential susceptibility across immune cell lineages. T lymphocytes are parti...

GeoPMB: An Interface-Aware Geometric Deep Learning Framework for Peptide-MHCI Binding Prediction with Evolutionary Insight.

The binding of peptides to class I major histocompatibility complex (MHCI) molecules is central to adaptive immunity, making the identification of imm...

Visit-level prediction of missed HIV appointments using machine learning and transformer-based models in Uganda.

Integrative transcriptomic and machine learning analysis identifies core immune genes and pathways driving graft-versus-host disease after allogeneic hematopoietic stem cell transplantation.

BACKGROUND: Graft-versus-host disease (GVHD), a major adverse event following allogeneic hematopoietic stem cell transplantation (allo-HSCT), commonly...

Rapid Proteome-Wide Discovery of Protein-Protein Interactions With ppIRIS.

Protein-protein interactions (PPIs) are central to cellular processes and host-pathogen dynamics across all domains of life, yet comprehensive interac...

Ferroptosis regulator NOX1 acts a diagnostic biomarker and mediates disease progression with the transcriptional regulation of STAT3 in glaucoma.

PURPOSE: Primary open-angle glaucoma (POAG) is the leading cause of irreversible blindness. Regrettably, the roles of ferroptosis-related (FR) genes i...

CT-based radiomics for predicting the treatment response to PD-1/PD-L1 inhibitors combined with chemotherapy in unresectable gastric cancer.

OBJECTIVE: To develop and validate a CT-based radiomics model to predict immunotherapy response in unresectable gastric cancer and explore its underly...

Diagnosing orthopaedic infection by identifying neutrophils in whole histology slide images with machine learning trained on publicly available datasets.

AIMS: This study examines the ability of YOLO (You Only Look Once) 11x, a widely used and state of the art object detection model, trained on publicly...

Vibrotactile feedback aids prosthesis usability.

A noninvasive vibrotactile feedback system integrated with a knee prosthesis can improve perception, user experience, and gait.

Ultra-efficient physical field computing by complex-valued network quantization.

Neural network quantization is an established technique for compressing real-valued models, but its application to complex-valued networks-essential i...

Risk prediction modelling of 30-day all-cause mortality following percutaneous coronary intervention in an Australian population: leveraging machine learning.

BACKGROUND: Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-makin...

A nine-gene diagnostic model for IgA nephropathy based on multi-cohort machine learning: integrating gene expression and immunohistochemical validation.

IgA nephropathy (IgAN) is the most common primary glomerulonephritis, requiring improved diagnostic tools. We analyzed three cohorts (GSE37460, GSE937...

LRF-UNet: Low-Rank Factorized Convolution Deep-Learning Networks for Visceral Adipose and Muscle Tissue Segmentation in Abdominal Computed Tomography Image.

Quantitative analysis of skeletal muscle (SM) and visceral adipose tissue (VAT) cross-sectional volumes at the third lumbar vertebral level (L3) on ab...