Transplantation

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 novel regulatory mechanisms in AML pathogenesis. METHODS: Integrative transcriptomic (GSE30029) and proteomic (PXD008378) analyses with machine learning (LASSO, SVM-RFE, random forest) were performed to identify core AML regulators. Functional validati...

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 critical prognostic factor, but its molecular mechanisms and precise predictive tools are lacking. This study aimed to identify key MVI-associated genes (MVIRGs), develop a prognostic model, and elucidate the role of ANGPT2 in HCC progression and th...

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...

Deep learning unlocks sequence-divergent synthetic promoters to empower Streptomyces natural product engineering.

Streptomyces are renowned for their unparalleled capacity to produce bioactive natural products, making them prime candidates for industrial antibioti...

Automated dicentric scoring system in Singapore nuclear research and safety initiative.

The dicentric chromosome assay (DCA) serves as the gold standard for quantifying ionising radiation exposure in individuals. However, the conventional...

Advances in immune checkpoint inhibitor therapy for microsatellite instability-high (MSI-H) and mismatch repair-deficient (dMMR) colorectal cancer: Insights from the tumor immune microenvironment.

This review systematically analyzes the relationship between the immune microenvironment characteristics of microsatellite instability-high (MSI-H) or...

Δ-Machine learning toward CCSD accuracy for homohalogenated borane-phosphine adducts: screening low-energy structures from DFT and MP2 libraries.

Accurate formation energies for weak boron-phosphorus Lewis adducts are challenging because low-order correlation and density-functional methods can m...

Full-Body AI Agent: A Perspective on Multi-Scale Collaborative AI for Systemic Biology and Precision Medicine.

Artificial intelligence (AI) is increasingly applied to biomedical research, but most current systems remain limited to specific tasks, data types, or...

Cancer immunotherapy: mechanisms, clinical applications, resistance and future directions.

Cancer immunotherapy has revolutionised oncology by utilising immune-mediated mechanisms to achieve durable anti-tumour responses and long-term clinic...

Immersive spatial computing in neurosurgery.

PURPOSE: Immersive spatial computing technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), are increasingly ap...

Machine Learning Model Predicts Clinical Adverse Events of Small Molecule Kinase Inhibitors in Cancer Patients Using On-/Off-Target Engagement and Tissue Selectivity.

Adverse events (AEs) of small molecule kinase inhibitors (SMKIs) at therapeutic doses in cancer patients are largely unpredictable in phase I-III stud...

Quantifying and Interpreting Solvation Power of Cyclic Carbonate by Chemical Calculation and Machine Learning.

Ion dynamics in carbonate electrolytes are fundamentally governed by the solvation power of cyclic solvents, a property whose quantification remains e...

Emerging applications of traditional and generative artificial intelligence in Liver Transplantation.

Artificial intelligence (AI) has emerged as a transformative force in liver transplantation (LT), spanning patient selection, donor-recipient matching...