Optimal personalised treatment computation through in silico clinical trials on patient digital twins
Open accessAbstract
In Silico Clinical Trials (ISCT), i.e. clinical experimental campaigns carried out by means of computer simulations, hold the promise to decrease time and cost for the safety and efficacy assessment of pharmacological treatments, reduce the need for animal and human testing, and enable precision medicine. In this paper we present methods and an algorithm that, by means of extensive computer simulation-based experimental campaigns (ISCT) guided by intelligent search, optimise a pharmacological treatment for an individual patient (precision medicine). We show the effectiveness of our approach on a case study involving a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction in humans.
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Prior computational tools could only be applied to the downregulation phase before follicular stimulation because the feedback mechanisms from the ovaries to the pituitary were not implemented in the modified model.
“However, the tools could only be applied to the downregulation phase before follicular stimulation, because the feedback mechanisms from the ovaries to the pituitary were not implemented in the modified model.”
From Mathematical Modeling and Simulation Provides Evidence for New Strategies of Ovarian Stimulation (2021) · cites this paper as [44]
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Cited by 23
- Authors
- Sinisi, S., Alimguzhin, V., Mancini, T., Tronci, E., Mari, F., & Leeners, B.
- Affiliations
- Sapienza University of Rome (IT)
- Foro Italico University of Rome (IT)
- University Hospital Zurich (CH)
- Corresponding author
- Sinisi, Stefano
- Alimguzhin, Vadim
- Mancini, Toni
- Tronci, Enrico
- ORCID
- Leeners, Brigitte
- Venue
- Fundamenta Informaticae
- Publisher
- SAGE Publications
- Published
- 2020-09-28
- Volume
- 174
- Issue
- 3-4
- Pages
- 283-310
- ISSN
- 0169-2968 (ISSN-L)
- 1875-8681
- OpenAlex
- W3089904848
- Cited by
- 23
- References
- 0
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 3 · 2023: 1 · 2022: 5 · 2021: 2 · 2020: 2
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Fundamenta Informaticae (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- arXiv (Cornell University)
- Zurich Open Repository and Archive (University of Zurich)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Simulation Techniques and Applications
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- in silico clinical trials, patient digital twins, precision medicine, computer simulation, intelligent search, assisted reproduction, pharmacotherapy
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