Transplantation

A machine learning-derived and functionally validated circadian rhythm signature predicts clinical outcomes and in silico drug sensitivity in colorectal cancer.

BACKGROUND: Colorectal cancer (CRC) displays considerable heterogeneity in clinical outcomes, highlighting the need for reliable prognostic biomarkers. While the aberrant expression of circadian rhythm-related genes has been implicated in cancer pathogenesis, its comprehensive role in CRC progression and predicted therapeutic vulnerabilities remains inadequately characterized. METHODS: Bulk and si...

Transdermal delivery of biologics.

Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabolic, inflammatory, oncological and infectious diseases. Despite their clinical success, their wider use remains constrained by invasive administration routes, poor patient acceptability and formulation challenges related to instability, degradation, a...

Identification of Methionine Metabolism-Driven Heterogeneous Subtypes in Colorectal Cancer and Their Associated Immune Microenvironment.

AIM: Tumor heterogeneity, driven by metabolic reprogramming, challenges colorectal cancer (CRC) treatment. Methionine metabolism is crucial for tumor ...

Single-cell and spatial transcriptomic landscapes reveal PIGT as a pivotal regulator of immunometabolic remodeling in colorectal cancer liver metastasis.

Colorectal cancer liver metastasis (CRLM) represents the leading cause of mortality in colorectal cancer (CRC). However, the molecular mechanisms enab...

Inflammation-linked aging signals in frozen single-cell foundation models: donor-aware detection and robustness testing.

Single-cell foundation models such as scGPT and Geneformer are large neural networks trained on human single-cell RNA-seq data. They were never shown ...

Artificial intelligence predicts recurrent autoimmune hepatitis after liver transplantation in a multicenter cohort study.

BACKGROUND: Autoimmune hepatitis (AIH) is an important indication for liver transplantation (LT), but recurrence affects over 30% of recipients, threa...

Bridging the Art and Science: A Symposium Honoring Prof. Luis M. Liz-Marzán for the Dong Qin ACS Award in Nanochemistry.

This Nano Focus article summarizes the symposium honoring the inaugural Dong Qin ACS Award in Nanochemistry at the ACS Spring 2026 meeting. The event ...

Transfer learning prediction of 2-year native liver survival in biliary atresia following Kasai portoenterostomy using early perioperative biochemical data up to 3 months postoperatively.

BACKGROUND: Biliary atresia (BA), a rare but life-threatening neonatal cholestatic disorder, necessitates Kasai portoenterostomy (KPE) as the primary ...

SURFXsim: Free-Energy Simulations of Spin-Forbidden Events with a Spin-Gap Collective Variable.

Spin-forbidden processes are central to catalysis, photochemistry, and transition-metal reactivity, yet their simulation remains challenging because t...

Retinal Pigment Epithelium and Microglia Transplantation in Age-related Macular Degeneration.

Age-related macular degeneration (AMD) remains a leading cause of irreversible blindness worldwide, characterized by the progressive breakdown of the ...

The single-cell atlas of programmed cell death signature: A machine learning-based prognostic framework in breast cancer.

Breast cancer remains a leading cause of cancer-related mortality in women, and current prognostic models are suboptimal. The transcriptomic role of p...

Early hemodynamic assessment and longitudinal imaging for predicting graft outcomes post-transplant.

BACKGROUND: The early identification of early allograft dysfunction (EAD) and the long-term prediction of graft-related adverse event-free survival (G...

Quantum convolutional HLA immunogenic peptide prediction (Q-CHIPP): Next-generation neoantigen prediction with quantum neural network.

The rapid growth of quantum computing is driven by promises of performing complex calculations with unprecedented speed; however, current use cases ha...

Can large language models provide high-quality desk review decisions in an orthopaedic surgery journal? A concordance study comparing three AI models to human editorial decisions.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into scientific publishing workflows, yet no study has formally evaluated the abil...

Modern approaches to gut microbiome investigation: Sequencing, culturomics, metabolomics, and beyond.

The human gut microbiome is a complex and constantly evolving community of trillions of microorganisms that are crucial to various aspects of health a...

Artificial Intelligence and Generative Models in Hepatology: From Large Language Models to Digital Pathology in Liver Disease Diagnosis and Treatment.

Artificial intelligence (AI), particularly foundation and generative models, is reshaping the practice of hepatology through enhanced knowledge synthe...

Artificial intelligence-augmented organ- and organoid-on-a-chip for drug screening.

Organ- and organoid-on-a-chip technologies provide critical human-relevant models for drug screening. Despite their promise, translating their complex...

Single-cell and spatial transcriptomics reveal SUV39H1 as a master epigenetic driver of immunosuppressive niche and stemness in bladder cancer.

Bladder cancer (BC) exhibits profound molecular heterogeneity and a highly dynamic tumor microenvironment, posing major challenges for effective thera...

Myocardial Native T1 Mapping in the German National Cohort (NAKO): Associations with Age, Sex, and Cardiometabolic Risk Factors.

BACKGROUND: In cardiovascular magnetic resonance (CMR), myocardial native T1 mapping enables quantitative, non-invasive tissue characterization and is...

Human genetics across levels of biological organization.

Genetic variation influences human physiology across biological scales from molecules to cells, tissues, organs and the whole organism. Unravelling ho...