Project description
AI-supported software for drug safety monitoring
The search for possible adverse reactions to a drug, or safety signal detection, is mandatory for all pharmaceutical companies and has to be performed in all countries where the drug is available. Until recently, this process was done manually. The EU-funded prudenta project aims to develop an innovative software solution for drug safety prediction, which will allow for the automation of signal detection for adverse reactions. As part of the project work, a cloud-based software solution based on artificial intelligence will be developed. Moreover, the software will be tested and the functionality of modules will be expanded and improved in the process of preparation for commercialisation.
Objective
Prudenta is an innovative, artificial intelligence-supported cloud-based solution that will enable pharmaceutical companies to automate local medical literature monitoring for drug safety signals (possible adverse reactions) and thus drastically improve the safety of drugs, as well as reduce the costs of drugs in the market. Safety signal searching is mandatory by law to all pharmaceutical companies and must be performed in each country, where the drug is traded. Until now - such searching was manual, in many instances not even electronic.
If successful, Prudenta would have a three-fold impact: 1) Safer drugs due to automation of the process and exclusion of the human error; 2) Cheaper drugs due to reduction of costs of inefficient use of experienced and educated personnel in pharmaceutical companies for manual searching; 3) Increase in employment in EU for support of all Prudenta activities (software development, operations, sales & marketing, etc.).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences artificial intelligence
- medical and health sciences basic medicine pharmacology and pharmacy drug safety
- social sciences sociology industrial relations automation
- natural sciences computer and information sciences software software development
- social sciences economics and business business and management employment
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1010 RIGA
Latvia
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.