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Machine Learning in Pharmacometrics: Opportunities and Challenges

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Application of Machine Learning in Translational Medicine: Current Status and Future Opportunities

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Role of Disease Progression Models in Drug Development

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Modern analytics for synthetically derived complex drug substances: NMR, AFFF–MALS, and MS tests for glatiramer acetate

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Transformer-based named entity recognition for parsing clinical trial eligibility criteria

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Development of a genetic algorithm and NONMEM workbench for automating and improving population pharmacokinetic/pharmacodynamic model selection

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Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression

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Pharmacometric modeling and machine learning analyses of prognostic and predictive factors in the JAVELIN Gastric 100 phase III trial of avelumab

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Capturing missing physics in climate model parameterizations using neural differential equationsPreprint

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Information Extraction From FDA Drug Labeling to Enhance Product-Specific Guidance Assessment Using Natural Language Processing

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Equivalence Testing of Complex Particle Size Distribution Profiles Based on Earth Mover’s Distance

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An automated approach to identify scientific publications reporting pharmacokinetic parameters

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Capturing missing physics in climate model parameterizations using neural differential equationsPreprint

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An introduction to causal inference for pharmacometricians

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Predictive Analysis of First Abbreviated New Drug Application Submission for New Chemical Entities Based on Machine Learning Methodology

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Machine Learning for Exposure-Response Analysis: Methodological Considerations and Confirmation of Their Importance via Computational Experimentations

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Predicting optimal treatment regimens for patients with HR+/HER2- breast cancer using machine learning based on electronic health records

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Biological Network Inference With GRASP: A Bayesian Network Structure Learning Method Using Adaptive Sequential Monte Carlo

Yu, K., Cui, Z., Sui, X., Qiu, X., & Zhang, J. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.764020 · Cited by 4 · see citing works

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Zhu, Z. (2025) · Scientific Reports · doi:10.1038/s41598-025-27879-w · Cited by 26 · see citing works

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Liu, Q., Joshi, A., Standing, J. F., & van der Graaf, P. H. (2024) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.3198 · Cited by 19 · see citing works

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Olawade, D. B., Kade, A., Egbon, E., Usman, S. O., Fapohunda, O., Ijiwade, J. O., & Ogbonna, C. E. (2025) · Molecular Genetics and Genomics · doi:10.1007/s00438-025-02314-x · Cited by 18 · see citing works

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Mitra, A., Tania, N., AHMED, M. A., Rayad, N., Krishna, R., Albusaysi, S., Bakhaidar, R. B., Shang, E. Y., Burian, M., Martin-Pozo, M. D., et al. (2024) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.3366 · Cited by 16 · see citing works

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Shahin, M. H., & Liu, Q. (2025) · Clinical and Translational Science · doi:10.1111/cts.70383 · Cited by 11 · see citing works

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Stimmer, L., Kuiper, R., Polledo, L., Ressel, L., Rodriguez, J. M. M., Veiga, I. B., Williams, J. M., & Herder, V. (2025) · Veterinary Pathology · doi:10.1177/03009858251347529 · Cited by 11 · see citing works

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Tripathi, S., Gabriel, K., Tripathi, P. K., & Kim, E. (2024) · Chemical Biology & Drug Design · doi:10.1111/cbdd.14568 · Cited by 13 · see citing works

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Xiong, Y., Samtani, M. N., & Ouellet, D. (2024) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2024.115503 · Cited by 9 · see citing works

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Mao, B., Gao, Y., Xu, C. R., Macha, S., Shuai, S. H. A. O., & Ahamadi, M. (2025) · The AAPS Journal · doi:10.1208/s12248-025-01075-0 · Cited by 8 · see citing works

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Jadaan, O. A., Mohamed, O. I., Ani, N. N. A., Jabas, A. O., & AlFaress, M. Y. (2025) · IGI Global eBooks · doi:10.4018/979-8-3693-7101-5.ch003 · Cited by 6 · see citing works

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Xue, J., Lee, Y., & Zhou, T. (2025) · Journal of Pharmaceutical Investigation · doi:10.1007/s40005-025-00791-1 · Cited by 3 · see citing works

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El-Tanani, M., Rabbani, S. A., Wali, A. F., Muhana, F., El‐Tanani, Y., & Kumar, R. (2026) · Pharmaceuticals · doi:10.3390/ph19060810 · Cited by 4 · see citing works

Integrating QSP and ML to Facilitate Drug Development and Personalized Medicine

Zhang, T. (2025) · Handbook of experimental pharmacology · doi:10.1007/164_2024_740 · Cited by 3 · see citing works

Utilization of Machine Learning Approaches for Drug Clearance Prediction and Population Pharmacokinetic Covariate Analysis

Rawal, A., Ou, J., Zhu, H., Sauna, Z. E., & Tegenge, M. A. (2025) · Clinical and Translational Science · doi:10.1111/cts.70359 · Cited by 2 · see citing works

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Fochesato, A., Brooks, L., Bazgir, O., Pierrillas, P. B., Jamois, C., Lu, J. J.-Q., & Mercier, F. (2025) · CPT Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.70113 · Cited by 4 · see citing works

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Bobolea, S., Hinoveanu, M. I., Dimitriu, A., Brașoveanu, M., Iliescu, C., Dinu‐Pîrvu, C., Ghica, M. V., Anuța, V., Popa, L., & Prisada, R. M. (2025) · Drug Development Research · doi:10.1002/ddr.70182 · Cited by 2 · see citing works

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Understanding Technology Perception in Autism with Separate Analyses for Anxiety and Depression Using Quantum Circuit Simulation Approach

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Kudrycki, K., Friedrich, C. M., Reed, M., & Baillie, R. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2024.1392747 · Cited by 2 · see citing works

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Abishek, K. G., Gopinath, P., Ramesh, S., Gupta, G., Sahebkar, A., Kesharwani, P., & Dandela, R. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-24064-5.00010-x

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Bhutto, J. A., Ishfaq, M., Rahman, Z., Aamir, M., Dayo, Z. A., & Javed, M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-33024-7.00012-6

The impact of artificial intelligence on drug discovery for neuropsychiatric disorders

Agaram Sundaram, V., Saravanan, B., Bhavani Sowndharya, B., Muthu Chinnakannu Marimuthu, M., Munjal, K., & Chopra, H. (2025) · EXCLI journal · doi:10.17179/excli2025-8378

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Giacomini, K. M., & van der Graaf, P. H. (2025) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.70089

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Counterfactual explainability in AI-driven drug discovery: Enhancing transparency and decision-making

Isa, A., Boukari, S., & Aliyu, M. A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-44415-9.00012-0

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Luo, J., Yu, J., Cai, Z., Xu, L., Lv, Y., Zheng, Q., & Li, L. (2026) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-026-04032-8

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Lu, J. J.-Q., & Desikan, R. (2026) · CPT Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.70249

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Dermawan, D., Chtita, S., & Alotaiq, N. (2026) · Pharmaceutics · doi:10.3390/pharmaceutics18050542 · Cited by 1 · see citing works

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Abedpoor, N., Hajibabaie, F., Shariati, L., & Taghian, F. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-32888-6.00002-5

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Felizardo, G. S. S., Costa, V. A. F., Santos, E. S. D. A., da Cunha, L. C., & Neves, B. J. (2026) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2026.2699304

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McCoy, M., & McCoy, M. (2026) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.70380

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Chen, W., Tanaka, Y., & Lin, M. (2024) · Pharmacophore · doi:10.51847/ytsrgcqu2z

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Alhashmi, H., Alhefzi, M. I., & Aldhubayi, L. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40572-3.00014-9

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Alqahtani, L. M. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-40572-3.00009-5

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Papadopoulos, G., & Georgiou, E. (2026) · Journal of Applied Pharmaceutical Technologies and Systems · doi:10.68159/c710578243

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Murray, B., Johnston, J. P., Dobbins, D. X., Doung, P., Fritz, M. K., Grizzle, M., Johnson, S. T., Leino, A. D., Macwan, R., Raheem, F., et al. (2026) · JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · doi:10.1002/jac5.70300

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Huy, N. T., Minh, P. Q., Bich, L. T., & Nam, T. V. (2026) · International Journal of Pharmaceutical and Phytopharmacological Research · doi:10.51847/sqnhnfskpq

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