Latest AI and machine learning research in transplantation for healthcare professionals.
Endometriosis affects approximately 190 million females of reproductive age worldwide. Magnetic Reso...
AIM: The aim of this study was to compare the histopathologic features of MMF-induced colitis and co...
Artificial neural networks are now used across many fields, from medicine to chatbots. However, they...
Two-Photon Lithography (TPL), a revolutionary additive manufacturing technique that transcends the d...
Accurate and convenient assessment of individual aging is crucial for identifying health risks and p...
Gene expression is an important process in which genes guide the synthesis of proteins, and molecula...
Trained immunity presents a unique target for modulating the immune response against infectious and ...
BACKGROUND: Cyclosporine (CsA), an immunosuppressant widely used in solid-organ transplantation, req...
Tensegrity describes a structural principle featuring a self-stabilizing system that consists of con...
Artificial neural networks with internal dynamics exhibit remarkable capability in processing inform...
Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early sepsis...
OBJECTIVE: This study aimed to improve treatment effectiveness in childhood-onset systemic lupus ery...
Transplantation of donor grafts recellularized with recipient-derived or non-immunogenic universal c...
Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mecha...
BACKGROUND: Allogeneic hematopoietic stem cell transplantation (HSCT) is potentially curative for he...
INTRODUCTION: Predictive scoring systems support clinicians in decision-making by estimating the pro...
Accurate X-ray Computed tomography (CT) image segmentation of the abdominal organs is fundamental fo...
Precise liver segmentation is critical for accurate diagnosis and effective treatment planning, serv...
Amid substantial capital influx and the rapid evolution of online user groups, the increasing comple...
Thermophotovoltaics (TPVs) convert radiative heat to electricity and are promising in applications s...