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Matthew Wiens, M.A.

Recent Posts

JAVELIN Recognition: Insights from One of the Most Cited Papers of the Year

Posted by Matthew Wiens, M.A. on Jun 5, 2024 10:36:10 AM

I am excited to share that one of our recent papers written in collaboration with EMD Serono, Pharmacometric modeling and machine learning analyses of prognostic and predictive factors in the JAVELIN Gastric 100 phase III trial of avelumab, has been recognized as one of the most cited in its publication last year. Reflecting on this achievement, I wanted to provide some insights into why I believe this paper resonated so strongly with the pharmacometrics community and became such a valuable resource.

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Topics: Methodology, Tools, and Computation, Machine Learning, AI

Thoughts on Machine Learning and AI from ACoP: Part Three

Posted by Matthew Wiens, M.A. on Dec 15, 2022 11:12:11 AM

Welcome to the final post of a three-part blog series reflecting on the ACoP (American Conference on Pharmacometrics) 13 meeting held October 30th - November 2nd, 2022.

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Thoughts on Machine Learning and AI from ACoP: Part Two

Posted by Matthew Wiens, M.A. on Dec 9, 2022 2:50:31 PM

Welcome to the second post of a three-part blog series reflecting on the ACoP (American Conference on Pharmacometrics) 13 meeting held October 30th - November 2nd, 2022.

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Thoughts on Machine Learning and AI from ACoP: Part One

Posted by Matthew Wiens, M.A. on Nov 29, 2022 4:41:21 PM

This is a three-part blog series reflecting on the ACoP (American Conference on Pharmacometrics) 13 meeting held October 30th - November 2nd, 2022.

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