DIAMONDS brings together Data, Knowledge and Algorithms. Data ranges from Clinical studies and Omics data to Personalized Health data. Traceable from original Raw measurements to Cleaned, Processed data ready to use. Knowledge ranges from Biological Knowledge from Curated databases and Textmining to manually Curated Triples from our Experts. All captured and connected to Source information through Standardized Pipelines and Workflows Protocols. Diverse tools and algorithms such as Statistical tools, Text mining methods, Scripts, Decision Trees, Bayesian/Dynamic Networks and Network Visualization.
Summary of highlighted projects and modules in DIAMONDS
The TRAAC framework is developed to quantify the readiness of different tools and methods towards their wider regulatory acceptance and downstream use by different stakeholders. The framework diagnoses barriers which hinder regulatory acceptance and wider usability of a tool/method. It is based on their Transparency, Reliability, Accessibility, Applicability and Completeness (TRAAC).Read more about "traac"
The HARMLESS project aims to develop a Decision Support System for Safe-by-Design for complex nano-materials and high-aspect ratio nano-materials.Read more about "harmless"
DTOX is a DIAMONDS project that integrates knowledge and data relating to the chemical structure, kinetics, metabolism, system biology and toxicity of substances with Omics data obtained from alternative experimental models for biological verification. This enables faster, more informed choices when investigating the safety of chemical substances for product development and/or registration.Read more about "dtox"
The Hotspot Scan is a public tool that allows a systematic and efficient assessment of potential hotspots in the life cycle of innovative products. To perform a full LCA can be a time-consuming and challenging task, the HotSpot Scan provides an intermediate assessment focusing on the strongest human health and environmental impacts based on establishing all the material flows.Read more about "hotspot scan"