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Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction.

EasyChair Preprint no. 419

16 pagesPublished: August 9, 2018

Abstract

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 a case study aiming at quantifying, by means of a multi-arm ISCT supervised by intelligent search, the potential impact of precision medicine approaches on a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction.

Keyphrases: assisted reproduction, downregulation treatment, drug administration, human patient, hybrid system simulators, menstrual cycle, multi arm isct, non-linear differential equation, optimal personalised treatment, personalised treatment, Pharmacological Treatment, precision medicine, search, silico clinical trial, Virtual Phenotype, Virtual Physiological Human

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:419,
  author = {Toni Mancini and Federico Mari and Annalisa Massini and Igor Melatti and Ivano Salvo and Stefano Sinisi and Enrico Tronci and Rainald Ehrig and Susanna Röblitz and Brigitte Leeners},
  title = {Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction.},
  howpublished = {EasyChair Preprint no. 419},
  doi = {10.29007/g864},
  year = {EasyChair, 2018}}
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