Clemens Wittwehr
Biographic Data
| ID | 9996601 |
|---|---|
| NAME | Clemens Wittwehr |
| GIVEN NAMES | Clemens |
| FAMILY NAME | Wittwehr |
| SIGNATURE | WITTWEHR C |
| AFFILIATIONS | Joint Research Centre |
| ORCID | 0000-0003-2760-7702 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Ciao
Introduction The CIAO project was launched in Spring 2020 to address the need to make sense of the numerous and disparate data available on COVID-19 pathogenesis. Based on a crowdsourcing model of large-scale collaboration, the project has exploited the Adverse Outcome Pathway (AOP) knowledge management framework built to support chemical risk assessment driven by mechanistic understanding of the biological perturbations at the different organiza…
Systematic Organization of Covid-19 Data Supported by the Adverse Outcome Pathway Framework
Adverse Outcome Pathways (AOP) provide structured frameworks for the systematic organization of research data and knowledge. The AOP framework follows a set of key principles that allow for broad application across diverse disciplines related to human health, including toxicology, pharmacology, virology and medical research. The COVID-19 pandemic engages a great number of scientists world-wide and data is increasing with exponential speed. Dilige…
No prominent works on this page.
Systematic Organization of Covid-19 Data Supported by the Adverse Outcome Pathway Framework
Adverse Outcome Pathways (AOP) provide structured frameworks for the systematic organization of research data and knowledge. The AOP framework follows a set of key principles that allow for broad application across diverse disciplines related to human health, including toxicology, pharmacology, virology and medical research. The COVID-19 pandemic engages a great number of scientists world-wide and data is increasing with exponential speed. Dilige…
Ciao
Introduction The CIAO project was launched in Spring 2020 to address the need to make sense of the numerous and disparate data available on COVID-19 pathogenesis. Based on a crowdsourcing model of large-scale collaboration, the project has exploited the Adverse Outcome Pathway (AOP) knowledge management framework built to support chemical risk assessment driven by mechanistic understanding of the biological perturbations at the different organiza…
Adverse Outcome Pathway (2 works) · Computer Science (2 works) · Data science (2 works) · Knowledge management (2 works) · 2019-20 coronavirus outbreak (1 works) · Bacillus and Francisella bacterial research (1 works) · Biology (1 works) · Cell Image Analysis Techniques (1 works) · Computational biology (1 works) · Conceptual framework (1 works)