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Heather L Ciallella

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Chemical Research in Toxicology|March 26, 2019
Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical ToxicityHeather L Ciallella, Hao Zhu
Methods in Molecular Biology (Clifton, N.J.)|March 16, 2022
Automatic Quantitative Structure-Activity Relationship Modeling to Fill Data Gaps in High-Throughput ScreeningHeather L Ciallella, Elena Chung, Daniel P Russo, et al.
Drug Discovery Today|July 15, 2020
Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modelingLinlin Zhao, Heather L Ciallella, Lauren M Aleksunes, et al.
Frontiers in Chemistry|December 11, 2020
Extended Stability Evaluation of Selected CathinonesHeather L Ciallella, Lexus R Rutter, Lorna A Nisbet, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|August 12, 2020
Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approachesHeather L Ciallella, Daniel P Russo, Lauren M Aleksunes, et al.
Journal of Hazardous Materials|April 27, 2024
Hybrid non-animal modeling: A mechanistic approach to predict chemical hepatotoxicityElena Chung, Xia Wen, Xuelian Jia, et al.
Environmental Science & Technology|July 26, 2021
Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network ApproachHeather L Ciallella, Daniel P Russo, Lauren M Aleksunes, et al.
ACS Sustainable Chemistry & Engineering|July 9, 2021
Construction of a Virtual Opioid Bioprofile: A Data-Driven QSAR Modeling Study to Identify New Analgesic OpioidsXuelian Jia, Heather L Ciallella, Daniel P Russo, et al.
Environmental Science & Technology|April 11, 2023
Data-Driven Quantitative Structure-Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral ExposureElena Chung, Daniel P Russo, Heather L Ciallella, et al.
Environmental Science & Technology|April 22, 2022
Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological DataHeather L Ciallella, Daniel P Russo, Swati Sharma, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Chemical Research in Toxicology|March 26, 2019
Advancing Computational Toxicology in the Big Data Era by Artificial Intelligence: Data-Driven and Mechanism-Driven Modeling for Chemical ToxicityHeather L Ciallella, Hao Zhu
Methods in Molecular Biology (Clifton, N.J.)|March 16, 2022
Automatic Quantitative Structure-Activity Relationship Modeling to Fill Data Gaps in High-Throughput ScreeningHeather L Ciallella, Elena Chung, Daniel P Russo, et al.
Drug Discovery Today|July 15, 2020
Advancing computer-aided drug discovery (CADD) by big data and data-driven machine learning modelingLinlin Zhao, Heather L Ciallella, Lauren M Aleksunes, et al.
Frontiers in Chemistry|December 11, 2020
Extended Stability Evaluation of Selected CathinonesHeather L Ciallella, Lexus R Rutter, Lorna A Nisbet, et al.
Laboratory Investigation; a Journal of Technical Methods and Pathology|August 12, 2020
Predictive modeling of estrogen receptor agonism, antagonism, and binding activities using machine- and deep-learning approachesHeather L Ciallella, Daniel P Russo, Lauren M Aleksunes, et al.
Journal of Hazardous Materials|April 27, 2024
Hybrid non-animal modeling: A mechanistic approach to predict chemical hepatotoxicityElena Chung, Xia Wen, Xuelian Jia, et al.
Environmental Science & Technology|July 26, 2021
Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network ApproachHeather L Ciallella, Daniel P Russo, Lauren M Aleksunes, et al.
ACS Sustainable Chemistry & Engineering|July 9, 2021
Construction of a Virtual Opioid Bioprofile: A Data-Driven QSAR Modeling Study to Identify New Analgesic OpioidsXuelian Jia, Heather L Ciallella, Daniel P Russo, et al.
Environmental Science & Technology|April 11, 2023
Data-Driven Quantitative Structure-Activity Relationship Modeling for Human Carcinogenicity by Chronic Oral ExposureElena Chung, Daniel P Russo, Heather L Ciallella, et al.
Environmental Science & Technology|April 22, 2022
Predicting Prenatal Developmental Toxicity Based On the Combination of Chemical Structures and Biological DataHeather L Ciallella, Daniel P Russo, Swati Sharma, et al.
Pageof 2