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Mamatha Bhat

Showing results (41-50 of 210) with videos related to

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Endocrine Reviews|November 28, 2020
Metabolic Consequences of Solid Organ TransplantationMamatha Bhat, Shirine E Usmani, Amirhossein Azhie, et al.
Mayo Clinic Proceedings|December 8, 2018
New-Onset Diabetes and Preexisting Diabetes Are Associated With Comparable Reduction in Long-Term Survival After Liver Transplant: A Machine Learning ApproachVenkat Bhat, Mahmood Tazari, Kymberly D Watt, et al.
Journal of Hepatology|May 19, 2023
Artificial intelligence, machine learning, and deep learning in liver transplantationMamatha Bhat, Madhumitha Rabindranath, Beatriz Sordi Chara, et al.
Hepatology International|January 12, 2022
Application of machine learning in liver transplantation: a reviewJason Tran, Divya Sharma, Neta Gotlieb, et al.
Mayo Clinic Proceedings|August 2, 2018
Immunosuppression, Race, and Donor-Related Risk Factors Affect De novo Cancer Incidence Across Solid Organ Transplant RecipientsMamatha Bhat, Kristin Mara, Ross Dierkhising, et al.
Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society|October 28, 2020
Identifying Modifiable Predictors of Long-Term Survival in Liver Transplant Recipients With Diabetes Mellitus Using Machine LearningAngeline Yasodhara, Victor Dong, Amirhossein Azhie, et al.
Frontiers in Artificial Intelligence|December 2, 2022
Artificial intelligence applied to omics data in liver diseases: Enhancing clinical predictionsCristina Baciu, Cherry Xu, Mouaid Alim, et al.
Gastroenterology|May 24, 2025
The Role of Artificial Intelligence in Chronic Liver Diseases and Liver TransplantationAshley Spann, Alexandra T Strauss, Sharon E Davis, et al.
Gut|August 22, 2024
Artificial intelligence applied to 'omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatmentSoumita Ghosh, Xun Zhao, Mouaid Alim, et al.
Pharmacological Research|February 22, 2023
Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastasesAnita Bakrania, Narottam Joshi, Xun Zhao, et al.
Pageof 21

Showing results (41-50 of 210) with videos related to

Sort By:
Pageof 21
Endocrine Reviews|November 28, 2020
Metabolic Consequences of Solid Organ TransplantationMamatha Bhat, Shirine E Usmani, Amirhossein Azhie, et al.
Mayo Clinic Proceedings|December 8, 2018
New-Onset Diabetes and Preexisting Diabetes Are Associated With Comparable Reduction in Long-Term Survival After Liver Transplant: A Machine Learning ApproachVenkat Bhat, Mahmood Tazari, Kymberly D Watt, et al.
Journal of Hepatology|May 19, 2023
Artificial intelligence, machine learning, and deep learning in liver transplantationMamatha Bhat, Madhumitha Rabindranath, Beatriz Sordi Chara, et al.
Hepatology International|January 12, 2022
Application of machine learning in liver transplantation: a reviewJason Tran, Divya Sharma, Neta Gotlieb, et al.
Mayo Clinic Proceedings|August 2, 2018
Immunosuppression, Race, and Donor-Related Risk Factors Affect De novo Cancer Incidence Across Solid Organ Transplant RecipientsMamatha Bhat, Kristin Mara, Ross Dierkhising, et al.
Liver Transplantation : Official Publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society|October 28, 2020
Identifying Modifiable Predictors of Long-Term Survival in Liver Transplant Recipients With Diabetes Mellitus Using Machine LearningAngeline Yasodhara, Victor Dong, Amirhossein Azhie, et al.
Frontiers in Artificial Intelligence|December 2, 2022
Artificial intelligence applied to omics data in liver diseases: Enhancing clinical predictionsCristina Baciu, Cherry Xu, Mouaid Alim, et al.
Gastroenterology|May 24, 2025
The Role of Artificial Intelligence in Chronic Liver Diseases and Liver TransplantationAshley Spann, Alexandra T Strauss, Sharon E Davis, et al.
Gut|August 22, 2024
Artificial intelligence applied to 'omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatmentSoumita Ghosh, Xun Zhao, Mouaid Alim, et al.
Pharmacological Research|February 22, 2023
Artificial intelligence in liver cancers: Decoding the impact of machine learning models in clinical diagnosis of primary liver cancers and liver cancer metastasesAnita Bakrania, Narottam Joshi, Xun Zhao, et al.
Pageof 21