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Weida Tong

Showing results (91-100 of 353) with videos related to

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Frontiers in Artificial Intelligence|December 6, 2021
DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level RepresentationTing Li, Weida Tong, Ruth Roberts, et al.
Regulatory Toxicology and Pharmacology : RTP|August 26, 2023
DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory applicationTing Li, Zhichao Liu, Shraddha Thakkar, et al.
ALTEX|November 11, 2019
Integrating adverse outcome pathways (AOPs) and high throughput in vitro assays for better risk evaluations, a study with drug-induced liver injury (DILI)Kapil K Khadka, Minjun Chen, Zhichao Liu, et al.
Regulatory Toxicology and Pharmacology : RTP|August 17, 2014
Global Summit on Regulatory Science 2013Paul C Howard, Weida Tong, Frank Weichold, et al.
Chemical Research in Toxicology|October 22, 2002
Influence of the structural diversity of data sets on the statistical quality of three-dimensional quantitative structure-activity relationship (3D-QSAR) models: predicting the estrogenic activity of xenoestrogensSeong Jae Yu, Susan M Keenan, Weida Tong, et al.
Drug Discovery Today|March 3, 2024
Generation of a drug-induced renal injury list to facilitate the development of new approach methodologies for nephrotoxicitySkylar Connor, Ting Li, Yanyan Qu, et al.
Environmental Toxicology and Chemistry|August 20, 2003
Structure-activity relationship approaches and applicationsWeida Tong, William J Welsh, Leming Shi, et al.
Plos Computational Biology|December 24, 2011
Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps)Zhichao Liu, Qiang Shi, Don Ding, et al.
BMC Bioinformatics|September 20, 2008
Very Important Pool (VIP) genes--an application for microarray-based molecular signaturesZhenqiang Su, Huixiao Hong, Hong Fang, et al.
Experimental Biology and Medicine (Maywood, N.J.)|January 23, 2025
Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart StudyPaul Rogers, Thomas McCall, Ying Zhang, et al.
Pageof 36

Showing results (91-100 of 353) with videos related to

Sort By:
Pageof 36
Frontiers in Artificial Intelligence|December 6, 2021
DeepCarc: Deep Learning-Powered Carcinogenicity Prediction Using Model-Level RepresentationTing Li, Weida Tong, Ruth Roberts, et al.
Regulatory Toxicology and Pharmacology : RTP|August 26, 2023
DeepAmes: A deep learning-powered Ames test predictive model with potential for regulatory applicationTing Li, Zhichao Liu, Shraddha Thakkar, et al.
ALTEX|November 11, 2019
Integrating adverse outcome pathways (AOPs) and high throughput in vitro assays for better risk evaluations, a study with drug-induced liver injury (DILI)Kapil K Khadka, Minjun Chen, Zhichao Liu, et al.
Regulatory Toxicology and Pharmacology : RTP|August 17, 2014
Global Summit on Regulatory Science 2013Paul C Howard, Weida Tong, Frank Weichold, et al.
Chemical Research in Toxicology|October 22, 2002
Influence of the structural diversity of data sets on the statistical quality of three-dimensional quantitative structure-activity relationship (3D-QSAR) models: predicting the estrogenic activity of xenoestrogensSeong Jae Yu, Susan M Keenan, Weida Tong, et al.
Drug Discovery Today|March 3, 2024
Generation of a drug-induced renal injury list to facilitate the development of new approach methodologies for nephrotoxicitySkylar Connor, Ting Li, Yanyan Qu, et al.
Environmental Toxicology and Chemistry|August 20, 2003
Structure-activity relationship approaches and applicationsWeida Tong, William J Welsh, Leming Shi, et al.
Plos Computational Biology|December 24, 2011
Translating clinical findings into knowledge in drug safety evaluation--drug induced liver injury prediction system (DILIps)Zhichao Liu, Qiang Shi, Don Ding, et al.
BMC Bioinformatics|September 20, 2008
Very Important Pool (VIP) genes--an application for microarray-based molecular signaturesZhenqiang Su, Huixiao Hong, Hong Fang, et al.
Experimental Biology and Medicine (Maywood, N.J.)|January 23, 2025
Leveraging AI to improve disease screening among American Indians: insights from the Strong Heart StudyPaul Rogers, Thomas McCall, Ying Zhang, et al.
Pageof 36