Transplantation

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

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A Multi-Modal Pelvic MRI Dataset for Deep Learning-Based Pelvic Organ Segmentation in Endometriosis.

Endometriosis affects approximately 190 million females of reproductive age worldwide. Magnetic Reso...

Artificial Neural Networks and Deep Learning in Solid Organ Transplantation.

Artificial neural networks are now used across many fields, from medicine to chatbots. However, they...

Additive Manufacturing of Nano-Micro Carbon Structures via Two-Photon Lithography.

Two-Photon Lithography (TPL), a revolutionary additive manufacturing technique that transcends the d...

Large language model-based biological age prediction in large-scale populations.

Accurate and convenient assessment of individual aging is crucial for identifying health risks and p...

Histology image analysis of 13 healthy tissues reveals molecular-histological correlations.

Gene expression is an important process in which genes guide the synthesis of proteins, and molecula...

Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies.

Trained immunity presents a unique target for modulating the immune response against infectious and ...

Estimation of Overall Cyclosporine Exposure Using Machine Learning.

BACKGROUND: Cyclosporine (CsA), an immunosuppressant widely used in solid-organ transplantation, req...

Research pathways from tensegrity-related biological structures to tensegrity robots: a bibliometric analysis.

Tensegrity describes a structural principle featuring a self-stabilizing system that consists of con...

Optical next generation reservoir computing.

Artificial neural networks with internal dynamics exhibit remarkable capability in processing inform...

SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.

Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis...

Machine learning-assisted tacrolimus dose optimization in childhood- onset systemic lupus erythematosus through population pharmacokinetic modeling.

OBJECTIVE: This study aimed to improve treatment effectiveness in childhood-onset systemic lupus ery...

Computer vision to predict cell seeding coverage in re-endothelialized mouse lungs.

Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal c...

Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma.

Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mecha...

Microbiome-based prediction of allogeneic hematopoietic stem cell transplantation outcome.

BACKGROUND: Allogeneic hematopoietic stem cell transplantation (HSCT) is potentially curative for he...

A multi-stage training and deep supervision based segmentation approach for 3D abdominal multi-organ segmentation.

Accurate X-ray Computed tomography (CT) image segmentation of the abdominal organs is fundamental fo...

FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms.

Precise liver segmentation is critical for accurate diagnosis and effective treatment planning, serv...

Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx.

Amid substantial capital influx and the rapid evolution of online user groups, the increasing comple...

Efficient and Scalable Thermal Radiation Management for Large-Scale Thermophotovoltaic Applications.

Thermophotovoltaics (TPVs) convert radiative heat to electricity and are promising in applications s...

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