Transplantation

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

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Engineering Conjugated Bridges in TPE-BT-Based Donor-Acceptor Molecules for Optimized Resistive Random Access Memory.

Four donor-acceptor (D-A) type organic small molecules, namely, 4,7-bis(4-(1,2,2-triphenylvinyl)phen...

Innovative Strategies in the Diagnosis and Treatment of Liver Cirrhosis and Associated Syndromes.

Liver cirrhosis continues to be a major global health issue, contributing to high morbidity and mort...

Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory.

Corticosteroids decrease the duration of organ dysfunction in sepsis and a range of overlapping and ...

Deep Learning-accelerated MRI in Body and Chest.

Deep learning reconstruction (DLR) provides an elegant solution for MR acceleration while preserving...

Effectiveness of eHealth for Medication Adherence in Renal Transplant Recipients: Systematic Review and Meta-Analysis.

BACKGROUND: As the optimal treatment for end-stage renal disease, kidney transplantation has proven ...

Hair Transplantation: State of the Art.

BACKGROUND: Hair transplantation is a minimally invasive procedure for treating hair loss in men and...

Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data.

Early allograft dysfunction (EAD) significantly affects liver transplantation prognosis. This study ...

Fusogenic Lipid Nanovesicles as Multifunctional Immunomodulatory Platforms for Precision Solid Tumor Therapy.

Although immunotherapy demonstrates considerable prospect in overcoming solid tumors, its clinical e...

Intramedullary Bone Graft Harvest Using Reamer-Irrigator-Aspirator System: A Case Series.

Autogenous iliac crest bone grating has been the gold standard. Recently, intramedullary bone graft ...

Machine learning-optimized advanced oxidation for enhanced sludge dewatering: EPS mechanistic insights and predictive modeling.

The recalcitrant nature of extracellular polymeric substances (EPS) in sewage sludge severely limits...

Dendritic cell-based microrobots for enhanced systemic antigen-specific immune tolerance.

Current immunotherapeutic approaches for autoimmune disorders primarily rely on the use of generaliz...

Are Wearable ECG Devices Ready for Hospital at Home Application?

The increasing focus on improving care for high-cost patients has highlighted the potential of Hospi...

Recent advances in multimodal approaches for investigating placental development and related diseases.

The placenta is a vital organ that supports fetal growth and pregnancy maintenance. Its dysfunction ...

Emerging Trends in Microfluidic Biomaterials: From Functional Design to Applications.

The rapid development of microfluidics has driven innovations in material engineering, particularly ...

Navigating challenging patient factors in systemic therapy for head and neck cancer.

Patients with head and neck cancer often present with complex challenges due to a substantial comorb...

brain2print AI powered web tool for creating 3D printable brain models.

We introduce brain2print, a web-based application that converts T1-weighted MRI scans into 3D printa...

Machine learning-augmented m6A-Seq analysis without a reference genome.

Methylated RNA m6A immunoprecipitation sequencing (m6A-Seq) is a powerful technique for investigatin...

ESMpHLA: Evolutionary Scale Model-Based Deep Learning Prediction of HLA Class I Binding Peptides.

The recognition of endogenous peptides by HLA class I plays a crucial role in CD8+ T cell immune res...

Evaluation of the Performance of a Large Language Model to Extract Signs and Symptoms from Clinical Notes.

Large language models (LLMs) have increasingly been used to extract critical information from unstru...

Utilizing Machine Learning to Predict Liver Allograft Fibrosis by Leveraging Clinical and Imaging Data.

BACKGROUND AND AIM: Liver transplant (LT) recipients may succumb to graft-related pathologies, contr...

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