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Clinical Pharmacology and Therapeutics|December 2, 2017
Driving Access to Medicines With a Totality of Evidence Mindset: An Opportunity for Clinical PharmacologyKarthik Venkatakrishnan, Jack Cook
Clinical Pharmacology and Therapeutics|December 18, 2023
Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model-Informed Precision MedicineNadia Terranova, Karthik Venkatakrishnan
Clinical Pharmacology and Therapeutics|January 10, 2018
Reverse Translation: The Art of Cyclical LearningSreeneeranj Kasichayanula, Karthik Venkatakrishnan
Drug Metabolism and Disposition: the Biological Fate of Chemicals|March 25, 2005
In vitro-in vivo extrapolation of CYP2D6 inactivation by paroxetine: prediction of nonstationary pharmacokinetics and drug interaction magnitudeKarthik Venkatakrishnan, R Scott Obach
Clinical Pharmacology and Therapeutics|April 21, 2019
Come Dance With Me: Transformative Changes in the Science and Practice of Drug-Drug InteractionsKarthik Venkatakrishnan, Amin Rostami-Hodjegan
Clinical Pharmacology and Therapeutics|April 18, 2019
Model-Based Meta-Analysis: Optimizing Research, Development, and Utilization of Therapeutics Using the Totality of EvidenceVijay V Upreti, Karthik Venkatakrishnan
Clinical Pharmacology and Therapeutics|December 24, 2017
How Well Are We Applying Quantitative Methods to Reverse Translation to Inform Early Clinical Development?Anne C Heatherington, Sreeneeranj Kasichayanula, Karthik Venkatakrishnan
The AAPS Journal|May 19, 2021
Application of Machine Learning in Translational Medicine: Current Status and Future OpportunitiesNadia Terranova, Karthik Venkatakrishnan, Lisa J Benincosa
Clinical and Translational Science|August 18, 2022
How resilient were we in 2021? Results of a LinkedIn Survey including biomedical and pharmaceutical professionals using the Benatti Resiliency ModelSongmao Zheng, Karthik Venkatakrishnan, Beth Benatti Kennedy
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