Results 171 to 180 of about 42,330 (258)

The Applications and Future Prospects of Organ Medicine

Health Care Science, EarlyView.
Jiayi Zhang, Youlu Liu, Yuexin Li, Rican Hu, Runbing Mo, Yuyi Zhang, Guangliang Huang, Xiaoshun He   +7 more
wiley   +1 more source

A Semi‐Automated Microfluidic Platform Employing Machine Learning Analysis to Study Adhesion Kinetics in Acute Myeloid Leukemia

Microscopy Research and Technique, EarlyView.
We have developed a semi‐automated shear flow platform using bright‐field optics and a machine‐learning analysis algorithm to dissect tumor‐microenvironment interactions. The algorithm quantifies the extent of adhesion at the single‐cell level and delivers consistent results within minutes instead of hours, facilitating high‐throughput analysis ...
Driti Ashok, Dennis Raith, Gabriel Kalweit, Maria Kalweit, Anusha Klett, Justus Duyster, Jonas Bermeitinger, Tanja Nicole Hartmann   +7 more
wiley   +1 more source

Optimizing DCD donor liver function with resveratrol during machine perfusion. [PDF]

Sci Rep
Jiao C, Li M, Sun X, Yeh H, Schlegel A, Lv G.   +5 more
europepmc   +1 more source

Normothermic Machine Perfusion vs. Static Cold Storage for DBD Liver Transplantation in High‐MELD Recipients: A Single‐Center Retrospective Study

Journal of Hepato-Biliary-Pancreatic Sciences, EarlyView.
ABSTRACT Background and Purpose While normothermic machine perfusion (NMP) has benefits over static cold storage (SCS), its efficacy in high‐acuity recipients with high Model for End‐Stage Liver Disease (MELD) scores, particularly using a back‐to‐base application model, is not well established.
Yuzuru Sambommatsu, Daisuke Imai, Kush Savsani, Mallika Datta, Junpei Tarashi, Jacob Hallesy, Samuel Wolfe, Isao Yokota, Seung Duk Lee, David A. Bruno   +9 more
wiley   +1 more source

Preservation of pediatric donor hearts via subnormothermic machine perfusion: Comparison to cold storage. [PDF]

JHLT Open
Wagner MJ, Silva GMAD, Hatami S, Khan M, Lin L, Wang X, Pidborochynski T, Adam B, Nagendran J, Conway J, Freed DH.   +10 more
europepmc   +1 more source

Revival of machine perfusion: new chances to increase the donor pool?

Expert Review of Medical Devices, 2005
Rakhorst, G, Ploeg, R
openaire   +4 more sources

Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms

Journal of Intelligent Medicine, EarlyView.
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He, Nan Su, Yuqing Wang, Yulin Sun, Xin Weng, Tania Pereira, Chenggong Hu, Keliang Xie, Meijun Pang, Kuo Zhang, Chuanxiang Huang, Xiuyun Liu   +11 more
wiley   +1 more source

Association between hypothermic machine perfusion parameters and graft function in deceased donor kidney transplantation. [PDF]

Ann Med
Dong B, Zhao Y, Li Y, Bi H, Wang C, Wang Y, Wang J, Chen Z, Lu C, Ding X.   +9 more
europepmc   +1 more source

Evolving Trends in Machine Perfusion for Liver Transplantation

Gastroenterology, 2019
Dutkowski, Phillipp, Guarrera, James V, de Jonge, Jeroen, Martins, Paulo N, Porte, Robert J, Clavien, Pierre-Alain   +5 more
openaire   +5 more sources

Deep learning‐assisted design of nanozyme for immune regulation

Journal of Intelligent Medicine, EarlyView.
Overview of nanozyme‐based strategies for inflammatory bowel disease therapy, featuring metal‐based and non‐metallic nanozymes classified by structure, alongside multifunctional and engineered probiotic‐based nanozymes classified by function. Abstract Inflammatory bowel disease (IBD), with rising global incidence and disease burden, is a multifactorial
Ke Chen, Si Sun, Shaofang Zhang, Huanhuan Qiao   +3 more
wiley   +1 more source