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Translational research and innovation in modern transplant practice: Paradigms from Greece and around the world.
In World journal of transplantation ; h5-index 22.0
Tsoulfas Georgios, Boletis Ioannis, Papalois Vassilios
2023-Feb-18
Artificial intelligence, Bioengineering, Immunosuppression, Immunotherapy, Liver transplantation, Living donor kidney transplantation, Non-alcoholic fatty liver disease, Pandemic, Translational research, Transplant oncology

The role of the mass vaccination programme in combating the COVID-19 pandemic: An LSTM-based analysis of COVID-19 confirmed cases.
In Heliyon
Hansun Seng, Charles Vincent, Gherman Tatiana
2023-Mar
COVID-19, Confirmed cases, Deep learning, LSTM, Mass vaccination

Progress Note Understanding -- Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 Shared Task
ArXiv Preprint
Yanjun Gao, Dmitriy Dligach, Timothy Miller, Matthew M Churpek, Ozlem Uzuner, Majid Afshar
2023-03-14

Machine learning-based neddylation landscape indicates different prognosis and immune microenvironment in endometrial cancer.
In Frontiers in oncology
Li Yi, Niu Jiang-Hua, Wang Yan
2023
TME, endometrial cancer, machine learning, neddylation, prognosis

Variation of Female Pronucleus Reveals Oocyte or Embryo Chromosomal Copy Number Variations.
In Advanced genetics (Hoboken, N.J.)
Yang Jingwei, Wang Yikang, Li Chong, Han Wei, Liu Weiwei, Xiong Shun, Zhang Qi, Tong Keya, Huang Guoning, Zhang Xiaodong
2023-Mar
artificial intelligence, expert experience deep learning, mathematical models, preāimplantation genetic tests, pronuclei identification

The development of a novel natural language processing tool to identify pediatric chest radiograph reports with pneumonia.
In Frontiers in digital health
OBJECTIVE :
MATERIALS AND METHODS :
RESULTS :
CONCLUSION :
Rixe Nancy, Frisch Adam, Wang Zhendong, Martin Judith M, Suresh Srinivasan, Florin Todd A, Ramgopal Sriram
2023
chest radiograph, clinical decision support, machine learning, natural language processing, pediatric, pneumonia
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