Hao Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Venues

Clinical pharmacology and therapeutics

Journal of pharmacokinetics and pharmacodynamics

Cancer research communications

University of Florida (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

University of Florida

United States

PHD :: Department of Pharmaceutical Sciences

Publications

Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Qi Liu, Raj Nair, Ruihao Huang, Hao Zhu, Austin Anderson, Ozlem Belen, Van Tran, Rebecca Chiu, Karen M Higgins, Jianmeng Chen, Lei He, Suresh Doddapaneni, Shiew Mei Huang, Nikolay P Nikolov, Issam Zineh
Using Machine Learning to Determine a Suitable Patient Population for Anakinra for the Treatment of COVID-19 Under the Emergency Use Authorization. Clinical pharmacology and therapeutics 115 (4) (2024)
Qi Liu, Raj Nair, Ruihao Huang, Hao Zhu, Austin Anderson, Ozlem Belen, Van Tran, Rebecca Chiu, Karen M Higgins, Jianmeng Chen, Lei He, Suresh Doddapaneni, Shiew Mei Huang, Nikolay P Nikolov, Issam Zineh
Using Machine Learning to Determine a Suitable Patient Population for Anakinra for the Treatment of COVID-19 Under the Emergency Use Authorization. Clinical pharmacology and therapeutics (2024)
Qi Liu, Raj Nair, Ruihao Huang, Hao Zhu, Austin Anderson, Ozlem Belen, Van Tran, Rebecca Chiu, Karen M Higgins, Jianmeng Chen, Lei He, Suresh Doddapaneni, Shiew Mei Huang, Nikolay P Nikolov, Issam Zineh
Using Machine Learning to Determine a Suitable Patient Population for Anakinra for the Treatment of COVID-19 Under the Emergency Use Authorization. Clinical pharmacology and therapeutics 115 (4) (2024)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Yow-Ming C Wang, Ping Ji, Sudharshan Hariharan, Jie Wang, Olanrewaju O Okusanya, Bilal Abuasal, Hao Zhu, Rajanikanth Madabushi, Shiew Mei Huang, Issam Zineh
Clinical Pharmacology Approaches to Support Approval of New Routes of Administration for Therapeutic Proteins. Clinical pharmacology and therapeutics 115 (3) (2024)
Yow-Ming C Wang, Ping Ji, Sudharshan Hariharan, Jie Wang, Olanrewaju O Okusanya, Bilal Abuasal, Hao Zhu, Rajanikanth Madabushi, Shiew Mei Huang, Issam Zineh
Clinical Pharmacology Approaches to Support Approval of New Routes of Administration for Therapeutic Proteins. Clinical pharmacology and therapeutics 115 (3) (2024)
Yow-Ming C Wang, Ping Ji, Sudharshan Hariharan, Jie Wang, Olanrewaju O Okusanya, Bilal Abuasal, Hao Zhu, Rajanikanth Madabushi, Shiew Mei Huang, Issam Zineh
Clinical Pharmacology Approaches to Support Approval of New Routes of Administration for Therapeutic Proteins. Clinical pharmacology and therapeutics 115 (3) (2024)
Qi Liu, Raj Nair, Ruihao Huang, Hao Zhu, Austin Anderson, Ozlem Belen, Van Tran, Rebecca Chiu, Karen M Higgins, Jianmeng Chen, Lei He, Suresh Doddapaneni, Shiew Mei Huang, Nikolay P Nikolov, Issam Zineh
Using Machine Learning to Determine a Suitable Patient Population for Anakinra for the Treatment of COVID-19 Under the Emergency Use Authorization. Clinical pharmacology and therapeutics 115 (4) (2024)
Qi Liu, Raj Nair, Ruihao Huang, Hao Zhu, Austin Anderson, Ozlem Belen, Van Tran, Rebecca Chiu, Karen M Higgins, Jianmeng Chen, Lei He, Suresh Doddapaneni, Shiew Mei Huang, Nikolay P Nikolov, Issam Zineh
Using Machine Learning to Determine a Suitable Patient Population for Anakinra for the Treatment of COVID-19 Under the Emergency Use Authorization. Clinical pharmacology and therapeutics 115 (4) (2024)
Yow-Ming C Wang, Ping Ji, Sudharshan Hariharan, Jie Wang, Olanrewaju O Okusanya, Bilal Abuasal, Hao Zhu, Rajanikanth Madabushi, Shiew Mei Huang, Issam Zineh
Clinical Pharmacology Approaches to Support Approval of New Routes of Administration for Therapeutic Proteins. Clinical pharmacology and therapeutics (2024)
Yow-Ming C Wang, Ping Ji, Sudharshan Hariharan, Jie Wang, Olanrewaju O Okusanya, Bilal Abuasal, Hao Zhu, Rajanikanth Madabushi, Shiew Mei Huang, Issam Zineh
Clinical Pharmacology Approaches to Support Approval of New Routes of Administration for Therapeutic Proteins. Clinical pharmacology and therapeutics (2024)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Qi Liu, Chenan Zhang, Yue Huang, Ruihao Huang, Shiew Mei Huang, Erin Larkins, Liza Stapleford, Donna R Rivera, Paul G Kluetz, Shenggang Wang, Hao Zhu, James L Weese, Elizabeth Cromartie, Mahder Teka, Sheetal Walters, Frank M Wolf, Thomas D Brown
Evaluating Pneumonitis Incidence in Patients with Non-small Cell Lung Cancer Treated with Immunotherapy and/or Chemotherapy Using Real-world and Clinical Trial Data. Cancer research communications 3 (2) (2023)
Qi Liu, Chenan Zhang, Yue Huang, Ruihao Huang, Shiew Mei Huang, Erin Larkins, Liza Stapleford, Donna R Rivera, Paul G Kluetz, Shenggang Wang, Hao Zhu, James L Weese, Elizabeth Cromartie, Mahder Teka, Sheetal Walters, Frank M Wolf, Thomas D Brown
Evaluating Pneumonitis Incidence in Patients with Non-small Cell Lung Cancer Treated with Immunotherapy and/or Chemotherapy Using Real-world and Clinical Trial Data. Cancer research communications 3 (2) (2023)
Kunal Naik, Rahul K Goyal, Luca Foschini, Choi Wai Chak, Christian Thielscher, Hao Zhu, James Lu, Joseph Lehár, Michael A Pacanoswki, Nadia Terranova, Neha Mehta, Niklas Korsbo, Tala Fakhouri, Qi Liu, Jogarao V S Gobburu
Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine. Clinical pharmacology and therapeutics (2023)
Qi Liu, Ruihao Huang, Julie Hsieh, Hao Zhu, Mo Tiwari, Guansheng Liu, Daphney Jean, M Khair ElZarrad, Tala Fakhouri, Steven Berman, Billy Dunn, Matthew C Diamond, Shiew Mei Huang
Landscape Analysis of the Application of Artificial Intelligence and Machine Learning in Regulatory Submissions for Drug Development From 2016 to 2021. Clinical pharmacology and therapeutics (2022)
Ruihao Huang, Qi Liu, Ge Feng, Yaning Wang, Chao Liu, Mathangi Gopalakrishnan, Xiangyu Liu, Yutao Gong, Hao Zhu
A novel approach for personalized response model: deep learning with individual dropout feature ranking. Journal of pharmacokinetics and pharmacodynamics 48 (1) (2020)
Liang Li, Yaning Wang, Ramana S Uppoor, Mehul U Mehta, Tiffany Farchione, Mitchell V Mathis, Hao Zhu
Exposure-response analyses of blood pressure and heart rate changes for methylphenidate in healthy adults. Journal of pharmacokinetics and pharmacodynamics 44 (3) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hao Zhu