
SIMOMICS LIMITED
SIMOMICS LIMITED
1 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2026Partners:TEAMIT RESEARCH SL, Mario Negri Institute for Pharmacological Research, IRIS, Leuphana University of Lüneburg, ECT OEKOTOXIKOLOGIE GMBH +41 partnersTEAMIT RESEARCH SL,Mario Negri Institute for Pharmacological Research,IRIS,Leuphana University of Lüneburg,ECT OEKOTOXIKOLOGIE GMBH,L Hoffman La Roche,ECT OEKOTOXIKOLOGIE GMBH,IRIS,AstraZeneca (Sweden),Bayer AG,University of Exeter,ECOLOGIC INSTITUT ge,SIMOMICS LIMITED,TEAMIT RESEARCH SL,NOVARTIS,FHG,SARD,RIVM,UH,Eli Lilly and Company Limited,MSD,BMS,STICHTING RADBOUD UNIVERSITEIT,GSK CONSUMER HEALTHCARE SARL,EAWAG,Roche (Switzerland),GU,RB,NOVARTIS,BMS,EMA,Reckitt Benckiser plc,SIMOMICS LIMITED,Eli Lilly and Company Limited,AstraZeneca (Sweden),Janssen (Belgium),University of York,ECOLOGIC INSTITUT ge,Bayer AG,MERCK SHARP & DOHME CORP,GLAXOSMITHKLINE RESEARCH AND DEVELOPMENT LTD.,EMA,GSK CONSUMER HEALTHCARE SARL,GLAXOSMITHKLINE RESEARCH AND DEVELOPMENT LTD.,Janssen (Belgium),EAWAGFunder: European Commission Project Code: 875508Overall Budget: 9,768,030 EURFunder Contribution: 4,550,000 EURThere are around 1900 active pharmaceutical ingredients (APIs) in use, yet the environmental risks of only a small proportion of these has been assessed. This calls for pragmatic science-based approaches for prioritising existing APIs in terms of their environmental risk. Such approaches could also be used pro-actively, i.e. to identify environmental concerns earlier in the drug development process, thereby contributing to a more sustainable future. The overall aim of PREMIER is to deliver an API information and assessment system for characterising the potential environmental risks of APIs, including relevant human metabolites and environmental transformation products, based on minimal testing. This system will be designed to screen and prioritise legacy APIs for tailored environmental assessment; identify potential environmental hazards associated with APIs in development; and to make the available environmental data more accessible for all stakeholders. The system will be optimized and validated using case studies on approximately 25 APIs. PRIME will realize its aim by combining world-leading research on the environmental risks of APIs with the principles of co-design and smart knowledge-based IT. Through this combination, we want to be more than a conventional research project. We want to ensure that the results of our ground-breaking research “work” address all the societal concerns about the potential risks posed by the presence of pharmaceuticals in the environment.
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