Transplantation

Precision oncology meets nanotechnology: AI-driven liposomal nanocarriers for enhanced cancer immunotherapy.

The integration of artificial intelligence (AI) with nanotechnology is redefining therapeutic strate...

LLM-guided population-based reinforcement learning: A scalable methodology for adaptive hyperparameter optimization.

Population-Based Training (PBT) has the drawback of using fixed, pre-programmed mutation and selecti...

Integrated single-cell and bulk transcriptomics reveals STAB1 as a novel therapeutic target for ovarian cancer.

The immunosuppressive tumor microenvironment (TME) and intrinsic heterogeneity of ovarian cancer (OC...

Backpropagation-free spiking neural networks with the forward-forward algorithm.

Spiking Neural Networks (SNNs) offer a biologically inspired computational paradigm that emulates ne...

Development of comparative and machine learning-based methodologies for the identification of inks applicable in the field of cultural heritage and forensic science.

This study proposes the development of comparative and machine learning-based methodologies for the ...

HueTools: A modular image processing and ML toolkit for quantitative colorimetric assay development.

Colorimetric assays offer a low-cost, accessible means of diagnostic testing but often suffer from s...

Real-world unified denoising for multi-organ fast MRI: a large-scale prospective validation.

Lengthy acquisition time remains a key bottleneck for the widespread use of MRI in clinics. While ac...

Wavelet-Transformed Frequency Linked Attention with Selective Hierarchy for Abdominal Organ Segmentation.

The clinical use of computed tomography (CT) scans has been steadily rising due to their ability to ...

The challenges of artificial intelligence in dermatology for the immunosuppressed patient.

Soft Robotics and Advanced Technologies for Minimally Invasive Bioprinting: The Future of Internal Organ Repair.

Bioprinting, first proposed in the 1980s for ex vivo tissue fabrication, has evolved into a cornerst...

MOTDNet: Multi organ task decoupling network for cell segmentation.

In histopathology, cell detection and segmentation of Hematoxylin and Eosin (H&E) stained tissue ima...

Artificial intelligence-guided design of LNPs for in vivo targeted mRNA delivery via analysis of the spatial conformation of ionizable lipids.

Efficient mRNA delivery to specific tissues requires optimized ionizable lipids, yet the role of lip...

Thymic health and immunotherapy outcomes in patients with cancer.

Although immunotherapy has revolutionized cancer treatment, many patients still experience limited b...

Stabilizing updates in differentially private stochastic gradient descent with buffered rejection.

The Burden, Outcomes, and Management of Patients with Aldosterone Dysregulation: A Targeted Literature Review.

INTRODUCTION: Aldosterone dysregulation (excess aldosterone production at the source within the adre...

Application of machine learning in the research progress of post-kidney transplant rejection.

Post-kidney transplant rejection is a critical factor influencing transplant success rates and the s...

Protocol for a global electronic Delphi on integrating artificial intelligence into solid organ transplantation.

Artificial intelligence (AI) is increasingly recognized as a transformative force in the field of so...

ChatGPT in liver transplantation: Current applications, limitations, and future directions.

Liver transplantation (LT) remains the optimal life-saving intervention for patients with end-stage ...

Context-aware synthetic promoter design using neural networks enables rewiring of eukaryotic transcriptional networks.

Gene regulation through promoter engineering is a cornerstone of synthetic biology, enabling precise...

Manufacturing-aware generative models enable petascale synthesis of designed DNA.

Generative modeling offers a robust framework for designing functional DNA, RNA and protein sequence...

The pre-metastatic niche: mechanisms, heterogeneity, and therapeutic opportunities.

Metastasis remains the leading cause of cancer-related mortality. The concept of the pre-metastatic ...