Transplantation

Mechanism-informed machine learning for individualized tacrolimus dose adjustment in the early post-kidney transplant period.

AIM: Tacrolimus dosing in the early post-kidney transplant period is challenging due to a narrow therapeutic index and substantial interindividual pharmacokinetic (PK) variability. This study aimed to develop and validate mechanism-informed machine learning (ML) models to support individualized tacrolimus dosing during this critical period. METHODS: A total of 4311 tacrolimus trough concentrations...

Programmable Smart CAR-T design: A new paradigm in precision immunotherapy driven by logic gates, conditional activation, allogeneic strategies, and artificial intelligence.

Chimeric antigen receptor T-cell (CAR-T) therapy has achieved unprecedented success in hematological malignancies but faces formidable challenges in solid tumors. These limitations include severe "on-target, off-tumor" toxicity, antigen heterogeneity, and the immunosuppressive tumor microenvironment, where the dense extracellular matrix acts as a physical barrier hindering T-cell infiltration. To ...

CTSB-positive tumor-associated macrophages shape prognosis and therapeutic response in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) remains a major clinical challenge in assessment of clinical outcomes and therapeutic response. Although tumor-...

Bergenin attenuates traumatic brain injury via inhibition of microglial PFKFB3-driven glycolytic-inflammatory crosstalk.

Traumatic brain injury (TBI) initiates a complex cascade of neuroinflammatory and metabolic disturbances that exacerbate neuronal loss and neurologica...

From Algorithm to Operatory: How Reliable Is Artificial Intelligence in Educating Patients on External Sinus Lifting?

BACKGROUND: Large language models (LLMs) such as Chat Generative Pre-Trained Transformer (ChatGPT; OpenAI, San Francisco, CA) and Claude (Anthropic, S...

Beyond the Cell Atlas: Functional Communities as the Essential Pathologic Units Driving Kidney Disease.

Kidney disease represents a growing global health crisis, demanding a deeper understanding of its underlying pathophysiology. Current mechanistic effo...

An Artificial Intelligence-Based Computer Vision Model for Human Sperm Concentration, Motility, and Kinematics Analysis.

Accurate assessment of sperm concentration and motility is critical for the diagnosis and management of male infertility. However, current methods, ma...

Patient Perceptions of Artificial Intelligence-Generated Kidney Transplant Information: Comparing ChatGPT With the National Kidney Foundation.

RATIONALE & OBJECTIVE: Generative artificial intelligence (AI) may help patients better understand the complexities of kidney transplantation. However...

Rapid Point-of-Care Inflammatory Cytokine Monitoring during Normothermic Liver Perfusion via a Multiplexed Paper-Based Vertical Flow Assay.

The advent of normothermic machine perfusion (NMP) has substantially enhanced liver transplantation outcomes by enabling physiologic preservation and ...

A synthetic biology roadmap for sustainable production of the plant-originated anti-cancer drug paclitaxel.

Paclitaxel, a clinically potent anticancer drug derived from Taxus species, faces persistent challenges in sustainable supply. Synthetic biology prese...

Metabolic profiling of the maternal liver in pregnant mice exposed to Di(2-ethylhexyl) phthalate (DEHP).

In this study, pregnant mice were exposed to dietary Di(2-ethylhexyl) phthalate (DEHP) (0.1 % or 0.2 %) from gestational day (GD) 0 to GD18, and mater...

Programmable lipid nanoparticles for RNA therapeutics: Design principles and clinical translation.

RNA therapeutics have come of age as clinically validated modalities including mRNA, siRNA, antisense oligonucleotides (ASOs), and in vivo genome edit...

CRISPR-Cas12a biosensing technology advances and applications in precision diagnostics and cancer research.

CRISPR-Cas12a has become a versatile biotechnology platform with important applications in biosensing, diagnostics, and precision genome editing. This...

Deep learning-guided attenuation and scatter correction of 99mTc-MAA SPECT images: towards quantitative analysis in 90Y-SIRT.

PURPOSE: This study aimed to develop deep learning (DL) models for CT-free attenuation correction and Monte Carlo-based scatter correction in 99mTc-ma...

Multicellular, Biochemical, and Perfusion Effects on Vessel Network Morphogenesis in a Microfluidic Vasculature-on-a-Chip.

Microvascular networks (MVNs) formed via endothelial cell self-assembly in 3D hydrogels have emerged as a widely used platform for modeling vasculariz...

Immunomodulatory Agents and Factors in Poor Hematopoietic Stem Cell Mobilization: Current Strategies and Future Prospects.

UNLABELLED: Hematopoietic stem cell (HSC) mobilization is a critical step in bone marrow transplantation for treating hematological malignancies and o...

Bridging process diversity in cell therapies toward standardization of manufacturing workflows.

Cell therapies offer transformative potential for a wide range of diseases. However, their manufacturing remains complex due to the inherent variabili...

A machine learning-driven app for predicting the need for post-operative respiratory support in liver transplant recipients.

BACKGROUNDS: Liver transplantation (LT) is a life-saving procedure for patients with end-stage liver disease, yet post-operative complications, partic...

SegRenal: AI-Driven segmentation of frozen sections in transplant kidney biopsies - A comparative analysis of deep learning models.

BACKGROUND AND OBJECTIVE: Frozen section evaluation of donor kidney biopsies is vital for determining transplant suitability, yet remains challenging ...

Radiologist- and computer-based chest imaging quantification at 12 months post transplant correlates with baseline lung allograft dysfunction.

BACKGROUND: Baseline lung allograft dysfunction (BLAD), defined as failure to achieve ≥ 80% predicted spirometry after lung transplant, is associated ...