Transplantation

PromptSE: drug side effect prediction with LLM-derived pharmacological representations.

Predicting drug-side effect associations is vital for drug discovery and patient safety. Accurate prediction requires high-quality representations of both drugs and side effects. While drug representations have advanced due to rich structured data, side effect information is mostly unstructured, symptom-oriented and heterogeneous texts, making it hard to capture underlying pharmacological mechanis...

Organoids as next-generation models for investigating intracranial tumours.

Tumour organoids have emerged as important tools in brain tumour research, addressing long-standing limitations of conventional two-dimensional cultures, xenograft models, and genetically engineered mouse models. By preserving patient-specific genetic alterations, cellular diversity, spatial architecture, and key microenvironmental features, organoid systems enable more faithful modelling of tumou...

Exosomes in bone health and disease: cellular crosstalk, systemic signaling, and AI-driven advances in regenerative therapy.

Exosomes have emerged as critical mediators of intercellular and inter-organ communication in bone biology. Secreted by bone-resident cells such as os...

Pediatric post-acute sequelae of SARS-CoV-2 infection in Taiwan: Insights from the DISCOVER cohort.

The post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID, represent a multifaceted challenge in pediatric populations, characterized by s...

Bioinformatics analysis identifies biomarkers associated with T-cell depletion in systemic lupus erythematosus.

Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that affects multiple organ systems. In SLE, T-cell subsets are closely associated ...

A voltage-controlled reconfigurable memristor with dual-mode synaptic plasticity for adaptive neuromorphic computing and mechanism analysis.

In this study, we propose and experimentally validate a simple planar-integrated dual-device memristor structure based on HfO2/Al2O3heterostructure, w...

TiON/NiOx Heterojunction Neuron for CMOS-Compatible Hardware Implementation of Activation Function in Neural Network.

This study presents a compact neuron device based on a PN heterojunction neuron to enable hardware-level deep neural networks (HDNNs) with improved in...

Validation of an automated AI-based micro-CT organ segmentation workflow against expert annotations and its impact on fluorescence quantification.

OBJECTIVE: Automated, artificial intelligence (AI)-based, organ segmentation has the potential to streamline preclinical imaging workflows, but its su...

From donor lungs to digital twins.

Cyclosporine in hematological disorders: mechanisms, clinical practice and emerging advances.

Cyclosporine A (CsA) functions as a calcineurin inhibitor that perturbs T cell activation via calcineurin-nuclear factor of activated T cells (CaN-NFA...

Integrative multi-omics, machine learning, and experimental validation reveal that TPM1 suppresses M2 macrophage polarization and enhances chemosensitivity in acute myeloid leukemia.

BACKGROUND: Acute myeloid leukemia (AML) remains a therapeutic challenge due to chemoresistance and immunosuppression. This study aimed to discover no...

A novel prognostic model based on MVIRGs identifies ANGPT2 as a key target driving the malignant progression of HCC.

BACKGROUND: Hepatocellular carcinoma (HCC) is a highly lethal malignancy with high recurrence and limited therapies. Microvascular invasion (MVI) is a...

DNA damage response signature-based prognostic genes for intrahepatic cholangiocarcinoma: a combined analysis of machine learning and biological experiments.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive subtype of primary liver cancer with insidious onset, early metastasis, and p...

Decoding the role of H19 in cholestatic liver injury using snRNA-seq, spatial transcriptomics, and machine learning-based disease prediction.

BACKGROUND: Despite recent advances, Primary Sclerosing Cholangitis (PSC)-a chronic obstructive biliary disease-still lacks effective therapies to pre...

Optimizing preoperative planning for total hip arthroplasty using random forest models to predict stem size and compatibility.

BACKGROUND: Preoperative planning is essential for optimal outcomes post-total hip arthroplasty (THA). Appropriate stem size and compatibility with fe...

Artificial intelligence in emergency mechanical ventilation: a prospective observational comparison with emergency physician ventilator settings.

BACKGROUND: Artificial intelligence (AI) has the potential to support clinicians in high-risk and complex decision-making processes, such as mechanica...

Capsid Engineering of Adeno-Associated Viruses for Targeted Gene Therapy in Kidney Diseases.

The global burden of chronic and genetic kidney diseases poses a significant challenge to healthcare systems. Current therapies, including dialysis, t...

Precision Management of Autoimmune Ocular Complications: Th17 Mechanisms and Therapeutic Innovations.

Precision management of ocular complications in systemic autoimmune diseases, such as Sjögren's syndrome (SS), systemic lupus erythematosus (SLE), Beh...

Machine learning assisted stability and CO2 reduction reaction activity prediction of single atom alloys.

Single-atom alloy catalyst design requires a synergistic understanding of stability and activity. Herein, density functional theory (DFT) and machine ...

Charting human organogenesis across the Carnegie stages from a whole-embryo perspective.

The Carnegie stages represent a critical window in human development, during which organ primordia emerge, tissue identities diversify, and many conge...