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Vu Vu

Showing results (1-10 of 5) with videos related to

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FEMS Yeast Research|October 14, 2003
Issatchenkia hanoiensis, a new yeast species isolated from frass of the litchi fruit borer Conopomorpha cramerella SnellenNguyen Vu Vu, Anh Hai Dao, Marc-André Lachance
Annals of Surgical Oncology|September 3, 2010
Invasive IPMN and MCN: same organ, different outcomes?Hamed Kargozaran, Vu Vu, Partha Ray, et al.
BMC Cardiovascular Disorders|July 14, 2025
Discrepancy between clinical guidelines and real-world management of heart failure with reduced ejection fraction at University Medical Center Ho Chi Minh City, VietnamHoang Vu Vu, The Dung Bui, Hai An Do, et al.
JAMIA Open|August 21, 2023
Evaluating the predictive ability of natural language processing in identifying tertiary/quaternary cases in prioritization workflows for interhospital transferTimothy Lee, Paul J Lukac, Sitaram Vangala, et al.
Plos One|April 6, 2022
E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notesKimon L H Ioannides, Pin-Chieh Wang, Kamran Kowsari, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
FEMS Yeast Research|October 14, 2003
Issatchenkia hanoiensis, a new yeast species isolated from frass of the litchi fruit borer Conopomorpha cramerella SnellenNguyen Vu Vu, Anh Hai Dao, Marc-André Lachance
Annals of Surgical Oncology|September 3, 2010
Invasive IPMN and MCN: same organ, different outcomes?Hamed Kargozaran, Vu Vu, Partha Ray, et al.
BMC Cardiovascular Disorders|July 14, 2025
Discrepancy between clinical guidelines and real-world management of heart failure with reduced ejection fraction at University Medical Center Ho Chi Minh City, VietnamHoang Vu Vu, The Dung Bui, Hai An Do, et al.
JAMIA Open|August 21, 2023
Evaluating the predictive ability of natural language processing in identifying tertiary/quaternary cases in prioritization workflows for interhospital transferTimothy Lee, Paul J Lukac, Sitaram Vangala, et al.
Plos One|April 6, 2022
E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notesKimon L H Ioannides, Pin-Chieh Wang, Kamran Kowsari, et al.
Pageof 1