Transplantation

Engineering Immune Cell to Counteract Aging and Aging-Associated Diseases.

Aging and age-related diseases are a major public health concern, driving interest in anti-aging res...

Advanced immunotherapy across diseases and the role of artificial intelligence: A review.

Immunotherapy, a therapeutic strategy aimed at modulating the host immune system, has undergone rapi...

Advances in the pharmacology and mechanism of anti-skin aging in Tonifying Traditional Chinese Medicines.

ETHNOPHARMACOLOGICAL RELEVANCE: According to the Traditional Chinese Medicine (TCM) tenet that "inte...

[Centennial evolution and innovative practices of functional protection in colorectal cancer surgery].

In the over-century-long history of colorectal tumor surgery, achieving organ function preservation ...

Trends and Scientific Evolution in Endovascular Aneurysm Repair (EVAR) Research: A Comprehensive Bibliometric Study Using VOSviewer.

BACKGROUND: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic...

Predicting kidney graft survival with a machine learning model based on for-cause biopsy transcriptomics.

Kidney transplantation significantly improves outcomes in end-stage renal disease, however, long-ter...

Artificial intelligence-based tumor-stroma ratio quantification reveals prognostic value and stromal-driven immunosuppression in colorectal cancer: an international validation study.

A Monolithic Ferroelectric-Ionic Duality for Stochastic-Neuromorphic Core Integration.

Learning under uncertainty has become increasingly critical in data-intensive artificial intelligenc...

Recapitulating lung cancer metastasis in vitro: Advances in organoid models and challenges in clinical translation (Review).

Lung cancer remains a significant global health challenge, with metastatic progression being the lea...

Machine learning models based on adipocyte fatty acid-binding protein help predict the chronic and lethal outcomes of patients with drug-induced liver injury.

PURPOSE: Some patients with drug-induced liver injury (DILI) would progress into chronicity or letha...

High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.

Understanding the behavioral and morphological dynamics of moving model organisms like the zebrafish...

A framework for developing machine learning-based chemical fingerprinting models using large gas chromatograph-mass spectrometer datasets: Application to oil spill residues classification.

Chemical fingerprinting is a key environmental forensics technique used in oil spill investigations ...

Organ-on-a-chip in oral medicine: Emerging approaches and applications.

OBJECTIVES: Organ-on-a-chip (OoC), as a highly biomimetic microphysiological system, is demonstratin...

Dosimetric assessment of deep learning based organ-at-risk segmentation: insights from the HaN-Seg challenge.

BACKGROUND AND PURPOSE: To extend the previously reported geometric analysis of HaN-Seg: The Head an...

Organotypic Retinal Explant Culture as a Model for Neuroretinal Degenerative Disease and Future Applications.

Organotypic retinal explant cultures are a valuable experimental tool for investigating neuroretinal...

Deep learning-derived CT body composition enhances survival risk stratification beyond the TNM system in locally advanced gastric cancer: a multi-modality cohort study.

BACKGROUND: Survival outcomes in locally advanced gastric cancer remain heterogeneous despite standa...

Efferocytosis-associated transcriptomic patterns characterize prognosis and immune landscape in osteosarcoma.

BACKGROUND: Osteosarcoma (OS) is the most common primary malignant bone tumor in adolescents, charac...

Exploration Novel Therapeutic Targets for Periodontitis via Stress Granules Biomarkers.

BACKGROUND: Periodontitis (PD) is associated with stress granules (SGs), which are involved in cellu...

Self-driving bioprinting laboratories.

The severe shortage of donor organs and limitations of current disease models highlight the urgent n...

Machine-learning-guided high-throughput design of asymmetric A-DA'D-A acceptors toward efficient organic solar cells.

Asymmetric structure design in non-fullerene acceptors (NFAs) has driven a significant breakthrough ...

A machine learning-based prediction model for poor prognosis in sepsis using lymphocyte count: a national, multicenter prospective cohort.

Sepsis-induced immunosuppression leads to poor prognosis. Circulating lymphocyte count (LC), as an e...