Nadia Terranova

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 28

Top Topics

Machine Learning

Artificial Intelligence

Top Venues

Clinical pharmacology and therapeutics

CPT: pharmacometrics & systems pharmacology

Journal of pharmacokinetics and pharmacodynamics

JCO clinical cancer informatics

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

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)
Idris Bachali Losada, Nadia Terranova
Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations. CPT: pharmacometrics & systems pharmacology 13 (8) (2024)
Federico Amato, Rainer Strotmann, Roberto Castello, Rolf Bruns, Vishal Ghori, Andreas Johne, Karin Berghoff, Karthik Venkatakrishnan, Nadia Terranova
Explainable machine learning prediction of edema adverse events in patients treated with tepotinib. Clinical and translational science 17 (9) (2024)
Idris Bachali Losada, Nadia Terranova
Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations. CPT: pharmacometrics & systems pharmacology (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)
Idris Bachali Losada, Nadia Terranova
Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations. CPT: pharmacometrics & systems pharmacology 13 (8) (2024)
Yulun Jiang, Alberto García-Durán, Idris Bachali Losada, Pascal Girard, Nadia Terranova
Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data. Journal of pharmacokinetics and pharmacodynamics (2024)
Nadia Terranova, Karthik Venkatakrishnan
Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model-Informed 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)
Nadia Terranova, Karthik Venkatakrishnan
Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model-Informed Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Nadia Terranova, Karthik Venkatakrishnan
Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model-Informed Precision Medicine. Clinical pharmacology and therapeutics 115 (4) (2024)
Idris Bachali Losada, Nadia Terranova
Bridging pharmacology and neural networks: A deep dive into neural ordinary differential equations. CPT: pharmacometrics & systems pharmacology 13 (8) (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)
Ana-Marija Milenković-Grišić, Nadia Terranova, Diane R Mould, Yulia Vugmeyster, Thomas Mrowiec, Andreas Machl, Pascal Girard, Karthik Venkatakrishnan, Akash Khandelwal
Tumor growth inhibition modeling in patients with second line biliary tract cancer and first line non-small cell lung cancer based on bintrafusp alfa trials. CPT: pharmacometrics & systems pharmacology (2023)
Jackson Burton, Bilal Abuasal, Sagar Bachhav, Jamie Connarn, Josh Cosman, Neeraj Gupta, Jing Jing, Sarah Kim, Tao Long, Nadia Terranova, Karthik Venkatakrishnan, Jian Wang, Qi Liu
Future Opportunities in Drug Development: American Society for Clinical Pharmacology and Therapeutics Pharmacometrics and Pharmacokinetics Community Vision. Clinical pharmacology and therapeutics (2023)
Daniel Abler, Perrine Courlet, Matthieu Dietz, Roberto Gatta, Pascal Girard, Alain Munafo, Alexandre Wicky, Mario Jreige, Monia Guidi, Sofiya Latifyan, Rita De Micheli, Chantal Csajka, John O Prior, Olivier Michielin, Nadia Terranova, Michel A Cuendet
Semiautomated Pipeline to Quantify Tumor Evolution From Real-World Positron Emission Tomography/Computed Tomography Imaging. JCO clinical cancer informatics 7 (2023)
Daniel Abler, Perrine Courlet, Matthieu Dietz, Roberto Gatta, Pascal Girard, Alain Munafo, Alexandre Wicky, Mario Jreige, Monia Guidi, Sofiya Latifyan, Rita De Micheli, Chantal Csajka, John O Prior, Olivier Michielin, Nadia Terranova, Michel A Cuendet
Semiautomated Pipeline to Quantify Tumor Evolution From Real-World Positron Emission Tomography/Computed Tomography Imaging. JCO clinical cancer informatics 7 (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)
Perrine Courlet, Daniel Abler, Monia Guidi, Pascal Girard, Federico Amato, Naik Vietti Violi, Matthieu Dietz, Nicolas Guignard, Alexandre Wicky, Sofiya Latifyan, Rita De Micheli, Mario Jreige, Clarisse Dromain, Chantal Csajka, John O Prior, Karthik Venkatakrishnan, Olivier Michielin, Michel A Cuendet, Nadia Terranova
Modeling tumor size dynamics based on real-world electronic health records and image data in advanced melanoma patients receiving immunotherapy. CPT: pharmacometrics & systems pharmacology (2023)
Nadia Terranova, Karthik Venkatakrishnan
Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model-Informed Precision Medicine. Clinical pharmacology and therapeutics (2023)
Nadia Terranova, Didier Renard, Mohamed H Shahin, Sujatha Menon, Youfang Cao, Cornelis E C A Hop, Sean Hayes, Kumpal Madrasi, Sven Stodtmann, Thomas Tensfeldt, Pavan Vaddady, Nicholas Ellinwood, James Lu
Artificial Intelligence for Quantitative Modeling in Drug Discovery and Development: An Innovation & Quality (IQ) Consortium Perspective on Use Cases and Best Practices. Clinical pharmacology and therapeutics (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 (AI/ML) for Precision Medicine. Clinical pharmacology and therapeutics (2023)
Nadia Terranova, Karthik Venkatakrishnan
Machine Learning in Modeling Disease Trajectory and Treatment Outcomes: An Emerging Enabler for Model-Informed Precision Medicine. Clinical pharmacology and therapeutics (2023)
Sreetama Basu, Alain Munafo, Ali-Frederic Ben-Amor, Sanjeev Roy, Pascal Girard, Nadia Terranova
Predicting disease activity in patients with multiple sclerosis: An explainable machine-learning approach in the Mavenclad trials. CPT: pharmacometrics & systems pharmacology 11 (7) (2022)
Emeric Sibieude, Akash Khandelwal, Pascal Girard, Jan S Hesthaven, Nadia Terranova
Population pharmacokinetic model selection assisted by machine learning. Journal of pharmacokinetics and pharmacodynamics (2021)
Emeric Sibieude, Akash Khandelwal, Jan S Hesthaven, Pascal Girard, Nadia Terranova
Fast screening of covariates in population models empowered by machine learning. Journal of pharmacokinetics and pharmacodynamics 48 (4) (2021)
Diego Vera-Yunca, Zinnia P Parra-Guillen, Pascal Girard, Iñaki F Trocóniz, Nadia Terranova
Relevance of primary lesion location, tumour heterogeneity and genetic mutation demonstrated through tumour growth inhibition and overall survival modelling in metastatic colorectal cancer. British journal of clinical pharmacology (2021)
Nadia Terranova, Mendel Jansen, Martin Falk, Bart S Hendriks
Population pharmacokinetics of ATR inhibitor berzosertib in phase I studies for different cancer types. Cancer chemotherapy and pharmacology 87 (2) (2020)