EU public Artificial Intelligence driven database of human biology-based Non-Animal Methods for biomedical research
The aim of this project is to develop an automated database that collects and structures information on new approach methodologies (NAMs) in use for biomedical research. The current deadline is 11 Jul 2023, 16:00 UTC.
What the buyer needs
- The aim of this project is to develop an automated database that collects and structures information on new approach methodologies (NAMs) in use for biomedical research.
- NAMs correspond to in vitro methods based on human cells and engineered tissues or in silico approaches employing computer modelling and simulation.
- Using automated approaches, such as Machine Learning or Artificial Intelligence, to mine the vast body of published literature will enable the creation and maintenance of an up-to-date, state of the art knowledge source…
Procurement signals
- Procedure: JRC/IPR/2023/OP/1399
- Procedure type: Source procedure code OPEN
- Contract type: Services contract (31095498)
- Published: 25 May 2023
Procurement categories
CPV labels are not yet mapped locally, so the official category codes are shown as source-backed identifiers.
Programme and geography
Derived from official EU Funding & Tenders portal source fields. Use this as a shortlisting aid; the official tender record remains authoritative.
Source-backed details
Original identifiers and classification fields from the EU tender source.
- JRC/IPR/2023/OP/1399
- 14496en
- Source procedure code OPEN
- Services contract (31095498)
- 11 Jul 2023, 16:00 UTC
- 15 Jul 2026, 07:21 UTC
Full official description
The aim of this project is to develop an automated database that collects and structures information on new approach methodologies (NAMs) in use for biomedical research. NAMs correspond to in vitro methods based on human cells and engineered tissues or in silico approaches employing computer modelling and simulation. Using automated approaches, such as Machine Learning or Artificial Intelligence, to mine the vast body of published literature will enable the creation and maintenance of an up-to-date, state of the art knowledge source collating NAMs applied to biomedical research, allowing the extension of already collected models both in time and in scope with the addition of new diseases categories.