Transplantation

GraESM-FuseDTA: adaptive gated multimodal fusion of graph neural networks and protein language models for robust drug-target affinity prediction.

Accurate drug-target affinity prediction is essential for virtual screening, lead compound prioritization, and drug repositioning, especially under cold-start scenarios involving unseen compounds, unseen targets, or unseen drug-target combinations. However, existing methods still face limitations in transferable molecular representation, contextual protein encoding, statistically reliable performa...

Identification of TNFRSF12A as a key regulator of stemness and immunosuppression in a novel glioma subtype via multi-omics analysis and experimental validation.

Glioma stem cells (GSCs) drive tumor heterogeneity, therapy resistance, and immunosuppression. This study identified molecular subtypes of glioma based on stemness-related genes and validated a key hub gene through bioinformatics and experiments. A stemness gene set was compiled from single-cell data, GeneCards, and MSigDB. Consensus clustering (NMF) on 157 glioma samples from GSE4290 revealed two...

Machine Learning Predicts Treatment Response and Prognostic Pathways From Whole-Blood Transcriptome in Primary Biliary Cholangitis.

BACKGROUND AND AIMS: Prognostic biomarkers that link disease progression and/or responses to therapeutic interventions in patients with primary biliar...

A modality-agnostic coronary artery habitat model for cardiac sparing in radiotherapy.

BACKGROUND: Emerging evidence suggests that the risk of cardiotoxicity increases with increased radiation dose to coronary arteries (CAs). However, ro...

A Pharmaco-Epidemiological Research Program Leveraging a Nationwide Database of Kidney Transplantation.

OBJECTIVES: The pharmaco-epidemiological research program in kidney transplantation (PERP-KT) aims to evaluate, for the principal maintenance immunosu...

Machine Learning of Personal Repertoires From Public T Cell Receptors.

The T-cell receptor (TCR) repertoire records an individual's immunological history, but most unique CDR3 sequences in any one person are private and u...

Hexagonal Hollow-Core Photonic Crystal Fiber for High-Sensitivity Terahertz Glucose Detection.

Diabetes mellitus is a rapidly escalating global health concern, often leading to severe complications such as neuropathy, vision impairment, vascular...

The role of cellular senescence in sepsis and its mechanism in copper death: An analysis based on machine learning.

Sepsis is characterized by potentially fatal organ failure resulting from the host's abnormal response to infection. Due to the complex and rapid prog...

Indoor Navigation for People With Visual Impairment in Canada: Participatory Co-Design and Interdisciplinary Study of the Edge A-Eye Platform.

BACKGROUND: Indoor navigation remains a major challenge for people with visual impairments, affecting autonomy, safety, and quality of life. While nav...

Infrared Spectroscopy for Determining Bone Graft Healing and Readiness in Tissue Models.

OBJECTIVE: Successful dental implant placement relies on the proper integration of bone graft material into an area of deficient native bone. Traditio...

Engineering autoimmune disease models using organoids: Harnessing microenvironmental engineering for precision medicine and immunological recapitulation.

Autoimmune diseases-including systemic sclerosis (SSc), systemic lupus erythematosus (SLE), and rheumatoid arthritis (RA)-are increasingly understood ...

Multimodal Contrast-Free Pulmonary Perfusion Imaging by Integrating CT and MRI for Enhanced Lung Function Assessment.

PURPOSE: Anatomy image-driven lung function imaging methods have been explored for thoracic radiotherapy, but most contrast-free approaches rely on un...

Histological AI-Assisted Analysis Outperforms Pathologist Assessment in Predicting Disease Outcomes in PSC Patients.

AIMS: Liver biopsy has shown prognostic significance in primary sclerosing cholangitis (PSC). However, histology is typically assessed manually based ...

Decoding non-fullerene acceptors for organic solar cells: a theoretical structure-property-performance perspective.

Organic solar cells (OSCs) have become promising next-generation photovoltaic technologies because of their flexibility, solution processability, and ...

AI-derived oocyte morphology and follicular fluid biomarkers in donors.

Oocyte quality is a key determinant of reproductive success, yet its assessment in assisted reproduction largely relies on subjective morphological cr...

Predetermined Change Control Plan Adoption and Documentation Transparency in FDA-cleared Radiology Artificial Intelligence/Machine Learning Devices.

Purpose To characterize Predetermined Change Control Plan (PCCP) adoption and documentation transparency among U.S. Food and Drug Administration (FDA)...

AI-Related Stress and Suicidal Tendencies in a Primary Care Cohort: Clinical Audit.

Rapid AI integration has introduced novel psychosocial stressors. Little is known about AI-specific clinical impacts in resource-limited settings. Thi...

End-to-End Clinical Validation of a Human-Supervised Large Language Model Agent for Enterprise Surgical Pathology Reporting.

Large language models (LLMs) show promise for text-based pathology tasks, yet most reported applications remain experimental, lack formal clinical val...

Rewiring immunometabolism in hepato-biliary-pancreatic cancers: Unraveling TME-mediated metabolic suppression and advancing next-generation immunotherapeutic approaches.

Hepato-biliary-pancreatic cancers, notorious for their pronounced heterogeneity and poor prognosis, continue to be a dominant factor in cancer-related...

Artificial Intelligence-Assisted Design of High-Entropy Oxide Catalysts.

High-entropy oxides (HEOs), which contain multiple cations with diverse valence states and highly disordered local environments, offer a much broader ...