Transplantation

Artificial Intelligence in Psychiatry: Five Decades of Progress and Persistent Translational Challenges.

OBJECTIVE: This review examined the historical development of artificial intelligence (AI) in psychiatry from 1972 to 2025 and identified persistent barriers to clinical translation. METHOD: The review used a structured source-identification approach across PubMed/MEDLINE, Web of Science, Google Scholar, ScienceDirect, citation tracking, and targeted historical searches. It synthesized sources qua...

Strategic modulation of heterocyclic donors in binaphthyl acrylonitrile-based hole transport materials for perovskite solar cells: a DFT and machine learning investigation.

Hole transport materials (HTMs) play a crucial role in perovskite solar cells (PSCs) by facilitating efficient charge extraction, suppressing interfacial recombination, and enhancing device stability. Here, a series of binaphthyl acrylonitrile-based organic chromophores (BNPD1-BNPD5) with heterocyclic donor moieties at their terminals were designed through molecular engineering for utilization as ...

Drug Discovery's Blind Spot: Why Organoid-Artificial Intelligence Convergence Demands Integrated Governance.

Organoid-artificial intelligence (AI) platforms are increasingly central to drug discovery, yet they sit between two governance regimes. AI frameworks...

Biologically adaptive radiation oncology in oligometastatic and oligoprogressive disease: MR- and CBCT-guided adaptation, molecular imaging, dose painting, biomarkers, and AI.

Oligometastatic disease (OMD) and oligoprogression are clinically actionable states in which local treatment of limited tumour burden can prolong dise...

A Bayesian Survival Model to Support the Selection of the Best Hematopoietic Stem Cell Donor.

The selection of a donor for allogeneic hematopoietic stem cell transplantation (HSCT) is a complex, multifactorial process requiring the balance of t...

Integration of RNA-seq and scRNA-seq to investigate the role of cell cycle-related biomarkers in sepsis.

BACKGROUND: Sepsis is a life-threatening organ dysfunction arising from a dysregulated host response to infection. Cell-cycle disturbance is increasin...

The dead still teach the living: Body donor dissection in the digital age of anatomy education.

Donor-based dissection has become increasingly contested in modern medical curricula as digital anatomy platforms, simulation technologies, virtual di...

Precision Medicine in Transfusion-Dependent and Non-Transfusion-Dependent β-Thalassemia: Toward Personalized Diagnosis and Therapy.

β-thalassemia comprises a clinically heterogeneous group of disorders in which anemia severity, transfusion exposure, iron loading, and organ complica...

A Review of Electrochemical-Biological Coupling Systems for CO2 Valorization: Catalytic Fundamentals, System Integration, and Industrial Outlook.

To support dual-carbon goals and address the limitations of conventional CO2 valorization technologies, this review summarizes recent advances in elec...

Explainable Survival Modeling in Pediatric Hematopoietic Stem Cell Transplantation Using Landmark-Based Machine Learning.

BACKGROUND: Machine learning survival models can outperform conventional Cox regression in heterogeneous pediatric HSCT cohorts, but clinical adoption...

The molecular landscape of chordoma: Current frontiers from multi-omics to artificial intelligence.

Chordoma is a rare and aggressive malignant bone tumor of the axial skeleton that has historically challenged clinicians due to its complex anatomical...

A Universal Fenton-Like Strategy for Selective Generation of 1O2 in Mixed Industrial Wastewater Treatment and Green Chemical Synthesis.

Sustained and selective generation of singlet oxygen (1O2) in Fenton-like catalytic systems is highly desirable for diverse applications, from freshwa...

Transforming Cancer Treatment: Integrative Strategies Targeting the Tumor Microenvironment through Biological Innovation and Artificial Intelligence.

Cancer is no longer viewed solely as a consequence of tumor-intrinsic genetic alterations but rather as a disease sustained by a complex and evolving ...

An Organ-Guided Lightweight Multi-frame Integration Network for Real-Time Abdominal Lesion Detection in Ultrasound Video Streams.

OBJECTIVE: Abdominal ultrasound is widely used for the routine screening of hepatobiliary and renal diseases because it is safe, inexpensive and broad...

Development and validation of natural language processing pipelines to extract injury and surgery-related data elements from ACL reconstruction operative reports.

BACKGROUND: Over 100,000 patients undergo ACLR each year in the United States, providing rich electronic medical record data to improve outcomes, but ...

Automated CT Volumetry of Peripancreatic Collections for Risk Stratification in Acute Pancreatitis: A Multicenter Retrospective Study.

RATIONALE AND OBJECTIVES: Extrapancreatic necrosis volume is an established prognostic marker in acute necrotizing pancreatitis, yet early diagnosis r...

Advanced imaging in systemic sclerosis: distinguishing activity from damage across organ systems.

PURPOSE OF REVIEW: A central challenge in systemic sclerosis (SSc) is the inability to distinguish active, potentially reversible disease, from damage...

Machine learning-derived clinical phenotypes of ascites in cirrhosis: A multi-center latent class analysis with external validation.

BACKGROUND: Ascites development in cirrhosis reduces five-year survival from 80% to 30%, yet substantial heterogeneity exists among patients with comp...

Clinical Research on Microecological Landscape for Infection Risk Stratification in Newly Diagnosed Patients with Hematological Conditions.

INTRODUCTION: Infection is a common and potentially fatal complication during the treatment of hematological diseases, particularly in the context of ...

An explainable machine learning model for predicting in-hospital infection in patients with systemic lupus erythematosus.

Infection is a leading cause of mortality in patients with systemic lupus erythematosus (SLE), yet effective tools for early identification of high-ri...