Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

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Machine learning-guided performance prediction of forward osmosis polymeric membranes for boron recovery.

Efficient recovery of boron is one of the crucial strategies of sustainably extracting valuable reso...

Recent advances in therapeutic probiotics: insights from human trials.

SUMMARYRecent advances in therapeutic probiotics have shown promising results across various health ...

Advancing lung transplantation through machine learning and artificial intelligence.

PURPOSE OF REVIEW: To explore the current applications of artificial intelligence and machine learni...

Investigating handheld near-infrared spectroscopy for forensic body fluid analysis.

Forensic casework and crime scene examination will often involve the identification and analysis of ...

Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-death.

Increasing the number of organ donations after circulatory death (DCD) has been identified as one of...

Comprehensive evaluation and application of tissue clearing techniques for 3-D visualization of splenic neural and immune architecture.

As the largest secondary lymphoid organ, the spleen plays a crucial role in initiating and sustainin...

Artificial intelligence in preclinical research: enhancing digital twins and organ-on-chip to reduce animal testing.

Artificial intelligence (AI) is reshaping preclinical drug research offering innovative alternatives...

Accurate bladder cancer diagnosis using ensemble deep leaning.

There are an estimated 1.3 million cases of cancer globally each year, making it one of the most ser...

Ultrasound-activated piezoelectric biomaterials for cartilage regeneration.

Due to the low density of chondrocytes and limited ability to repair damaged extracellular matrix (E...

Multifaceted profiling of virus-specific CD8 T cells reveals distinct immune signatures against cytomegalovirus infection states during pregnancy.

Anti-cytomegalovirus (CMV) serological testing, including the IgG avidity index (AI), is used to ass...

Assessment of POPs in foods from western China: Machine learning insights into risk and contamination drivers.

Persistent organic pollutants (POPs), including PCDD/Fs, PCBs, and PBDEs, are major environmental an...

Artificial intelligence in central-peripheral interaction organ crosstalk: the future of drug discovery and clinical trials.

Drug discovery before the 20th century often focused on single genes, molecules, cells, or organs, f...

A labeled synthetic mobile money transaction dataset.

This data article introduces a labeled synthetic mobile money transaction dataset created using MoMT...

Transforming breast cancer diagnosis and treatment with large language Models: A comprehensive survey.

Breast cancer (BrCa), being one of the most prevalent forms of cancer in women, poses many challenge...

Self-Referencing Agents for Unsupervised Reinforcement Learning.

Current unsupervised reinforcement learning methods often overlook reward nonstationarity during pre...

MedScale-Former: Self-guided multiscale transformer for medical image segmentation.

Accurate medical image segmentation is crucial for enabling automated clinical decision procedures. ...

Explainable machine learning for the assessment of donor grafts in liver transplantation.

BACKGROUND AND AIM: The shortage of liver grafts compared to recipients necessitates precise organ a...

Febrile neutropenia management in high-risk neutropenic patients: a narrative review on antibiotic prophylaxis and empirical treatment.

INTRODUCTION: Although febrile neutropenia (FN) remains a major cause of morbidity and mortality in ...

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