Research and Drug Development

The information and resources in this section can help you navigate in the Research and Drug Development area to identify issues classified for:
Disease models,
Disease/Translational resources,
Drug Discovery,
Clinical Development,

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  2. Research and Drug Development
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BBMRI-ERIC

Published by BBMRI-ERIC

BiobankBiobanking

BBMRI-ERIC is a European research infrastructure for biobanking. We bring together all the main players from the biobanking field – researchers, biobankers, industry, and patients – to boost biomedical research. To that end, we offer quality management services, support with ethical, legal and societal issues, and a number of online tools and software solutions. Ultimately, our goal is to make new treatments possible.

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In Silico Model

Published by Animal Biotechnology

In silico

This article is a review of the main concepts about In silico modeling of diseases. Examples and applications of In silico modeling for some important categories of diseases (such as for cancers, infectious diseases, and neuronal diseases) are also given.

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In Silico Model in Toxicology and Risk Assessment

Published by Frontiers Media

In silicophysiologically-based kinetic and dynamic modelQSAR model

This article aims to address the latest developments in the area of In silico modelling and New approach methodologies (NAMs) including physiologically-based kinetic and dynamic (PBK-D) model, In silico model for the prediction of toxicological such as QSAR model and machine learning algorithms, the use of quantitative adverse outcome pathways for hazard characterisation of chemicals to cite but a few

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A European standardization framework for data integration and data-driven In Silico Model for personalized medicine – EU-STANDS4PM

Published by EU-STANDS4PM consortium

ethicalIn silicoLegal

This report therefore surveys the legal landscape for health data integration, and the challenges which arise when information is re-used to develop analytical or predictive model, which are then re-applied to a patient population

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