ISO/TS 9491-1:2023 Biotechnology — Predictive computational models in personalized medicine research — Part 1: Constructing, verifying and validating models

Abstract:

This document defines challenges and requirements for predictive computational models constructed for research purposes in personalized medicine. It specifies recommendations and requirements for the setup, formatting, validation, simulation, storing and sharing of such models, as well as their application in clinical trials and other research areas. It summarizes specific challenges regarding data input, as well as verifying and validating of such models that can be considered as best practices for modelling in research and development in the field of personalized medicine. This document also specifies recommendations and requirements for data used to construct or needed for validating models, including rules and requirements for formatting, description, annotation, interoperability, integration, accessing, as well as recording and documenting the provenance of such data. This document does not provide specific rules or requirements for the use of computational models in the clinical routine, or for diagnostic or therapeutic purposes.

SEEK ID: https://publications.h-its.org/publications/1668

Research Groups: Scientific Databases and Visualisation

Publication type: Manual

Publisher: International Organization for Standardization (ISO), Geneva, Switzerland

Citation: ISO/TS 9491-1:2023 Biotechnology — Predictive computational models in personalized medicine research — Part 1: Constructing, verifying and validating models. International Organization for Standardization (ISO), Geneva, Switzerland. https://www.iso.org/standard/83516.html

Date Published: 8th Jun 2023

URL: https://www.iso.org/standard/83516.html

Registered Mode: manually

Authors: Marc Kirschner, Martin Golebiewski, Heike Moser, EU-STANDS4PM consortium, ISO/TC 276/WG 5

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Created: 24th May 2023 at 11:32

Last updated: 5th Mar 2024 at 21:25

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