ASCPT is proud to publish three peer-reviewed scientific research journals, spanning clinical pharmacology, pharmacometrics and systems pharmacology, and translational science.
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Associate Professor of Pediatrics, Divisions of Hospital Medicine & Clinical Pharmacology at Cincinnati Children's Hospital Medical Center
Thankful to have been part of American Society for Clinical Pharmacology & Therapeutics’s Leadership Accelerator Cohort and to contribute to this article about the value of inter-institutional (peer) mentorship and the value of joining ASCPT as an early career scientist. ASCPT Journal Family
Modeling adagrasib DDIs: Cilliers et al. present clinical and PBPK evaluations of this KRAS G12C inhibitor with time-dependent CYP3A4 inhibition. Predictions supported FDA dosing and labeling without additional trials. To learn more visit: https://bit.ly/42rWX9d Cornelius Cilliers Lisa Rahbaek Jonathan Tran Eleanor Howgate Hannah Jones #CPTJournal
🎓 Student/Trainee Spotlight 🌟 Meet Caroline Grant, lead author, alongside co-first author Jean Marrero-Polanco, of a recent publication that explores pharmacogenomic augmented machine learning in electronic health records alerts. Caroline recently defended her PhD in Molecular Pharmacology and Experimental Therapeutics at Mayo Clinic (March 2025) and is currently a post-doctoral trainee. Her work centers on establishing machine learning workflows that integrate multi-omics data to better understand the biological mechanisms underlying disease and treatment response. With a background in Neuroscience from Northwestern University and research experience at the National Institute on Alcohol Abuse and Alcoholism (NIAAA), Caroline’s scientific journey reflects a growing passion for AI/ML-powered insights into psychiatric disorders and complex diseases. During her PhD, she worked in the Health Engineering and Analytics Laboratory under the mentorship of Arjun Athreya. This inspiring partnership continues to drive discoveries at the intersection of data science and pharmacology. In June, Caroline will join the Clinical Pharmacology department at AbbVie to contribute to drug development in oncology - bringing AI-enabled approaches into real-world translational research. Outside of the lab, Caroline is fueled by nature, friends, and movement. Whether it’s trail running, rock climbing, playing soccer, or watching Earth and adventure documentaries, she finds balance and energy in the outdoors. 📽️ Watch Caroline’s video to hear more about her journey and what’s next!
Antidepressants & hyponatremia risk: Mo et al. analyze data from the All of US Research Program, revealing differential risks across SSRIs, SNRIs, and NRIs. Duloxetine & escitalopram showed the highest risk, while bupropion & paroxetine had the lowest. To learn more visit: https://bit.ly/3DS94Eh Huan Mo Tracey Ferrara Josh Denny Slavina Goleva Bennett Waxse David Schlueter Ariel Williams #AllofUsResearch #CPTJournal
🎓 Student/Trainee Spotlight 🌟 Meet Jean Marrero-Polanco, a PhD candidate at the Mayo Clinic Graduate School of Biomedical Sciences. Jean’s current research focuses on identifying wearable, clinical, and biological predictors of depressive symptom severities using machine learning approaches. At the intersection of pharmacology and AI, Jean’s work aims to pave the way for more personalized and efficient mental health care. Originally from Puerto Rico, Jean holds a bachelor’s degree in Cellular Molecular Biology from the University of Puerto Rico, Río Piedras Campus. At Mayo Clinic’s Department of Molecular Pharmacology and Experimental Therapeutics, he found a passion for AI-driven solutions to pharmacological challenges under the mentorship of Dr. Arjun Athreya. "I am truly fortunate and grateful to have worked with Caroline Grant and Dr. Arjun Athreya on this project. I hope for a future where all patients receive precise and efficient care, and physicians can rely on fast and reliable technologies for delivering care." Outside the lab, Jean enjoys Minnesota’s scenic state parks, hiking trails, and capturing memories through photography. He also finds inspiration in reading about the challenges and triumphs of humanity, especially those related to overcoming medical conditions - reminders of why this research matters. 📽️ Check out Jean’s video to learn more about his journey and aspirations. #StudentSpotlight #BiomedicalResearch #MentalHealth #MachineLearning #Pharmacology #MayoClinic #DiversityInScience #EarlyCareerResearcher
New study explores how #obesity affects imatinib pharmacokinetics using PBPK modeling and virtual trials. Results emphasize the value of therapeutic drug monitoring (TDM) for dose optimization in obese cancer patients, guiding precision medicine strategies. Read more: https://bit.ly/43AoozS #PSPjournal #ASCPTjournals #ClinicalPharmacology
New insights into enhancing user interface & user experience (UI/UX) design for R Shiny apps in pharmacometrics! Improving interactivity boosts usability and end-user enjoyment. A must-read for PMX app developers: https://bit.ly/42cd36y #PSPjournal #ASCPTjournals #ClinicalPharmacology
🧠 New in Translational Bytes 🧠 📍 From EHRs to Actionable Insights in NAFLD 🚨 Nonalcoholic Fatty Liver Disease (NAFLD) and Nonalcoholic Steatohepatitis (NASH) are vastly underdiagnosed — but what if we could detect them earlier using data we already have? In our latest Translational Bytes article, “Detecting NAFLD and NASH via Algorithm”, Dr. Julia Wattacheril and Dr. Anna O. Basile present a scalable, rule-based algorithm that identifies NAFLD and NASH across three major healthcare systems — covering over 12 million patients. 📊 At Columbia University Irving Medical Center, 67% of NAFLD patients identified by this method had no prior diagnosis using ICD codes alone. ⚙️ Built for the OMOP Common Data Model, this approach is immediately implementable in systems with longitudinal EHR data. 🔍 The algorithm helps detect at-risk individuals, verify hepatic steatosis, and stratify for advanced fibrosis using noninvasive methods — all with the goal of linking patients to timely and precise care. This work highlights the real-world potential of machine-driven approaches to address complex metabolic diseases and advance precision medicine at scale. 📖 Read the article: 🔗 https://bit.ly/41Nknqr #NAFLD #NASH #EHR #PrecisionMedicine #AIinHealthcare #TranslationalScience #ClinicalPharmacology #CTSJournal #ASCPTjournals
Evaluating anticoagulant exposure with corticosteroids: Jean Terrier, PhD et al. assess dexamethasone's impact on apixaban & rivaroxaban in COVID-19 patients, supporting their use in low risk cases. Prednisone may be a viable alternative! To learn more visit: https://bit.ly/3Y6kkDD #CPTJournal #COVID19 #ClinicalPharmacology #PBPK
New study develops a population PK model characterizing ADA-driven exposure loss to cibisatamab, a CEA-directed T-cell bispecific antibody. Model precisely differentiates patients affected by ADAs, aiding tailored PK assessment. Read more: https://bit.ly/3QTOMNB #PSPjournal #ASCPTjournals #ClinicalPharmacology