VELTION NESTOR

NESTOR

Cross-sectoral alliance to strengthen R&I capacity in reproductive medicine through international and intersectoral secondments, enabling translation into impactful products and services.

Funding: Horizon Europe (WIDERA / ERA Talents) Duration: 36 months
Project illustration or key figure
Conceptual visualization of AI-powered innovation in reproductive medicine within the NESTOR project.

Project Overview

NESTOR aims to improve research and innovation performance in reproductive medicine by boosting collaboration between academia and industry across Widening and non-Widening countries through structured secondments and targeted training.

The project focuses on personalised reproductive medicine solutions and novel assisted reproductive technologies (ART), including non-invasive IVF embryo selection, uterine health studies, and novel non-invasive prenatal testing (NIPT) technologies—supporting responsible innovation, data governance and sustainable exploitation.

Key Facts

  • Programme / Call: HORIZON-WIDERA-2022-TALENTS-03 (ERA Talents)
  • Coordinator: University of Tartu (UT)
  • VELTION role (NTUA/VELTION): AI/data workflows & computational support (methods, pipelines, interoperability)
  • Website: add project URL

Objectives

Boost talent & mobility

Implement structured secondments and monitoring to strengthen human capital and skills in reproductive medicine.

Translate R&I to practice

Advance and validate data-driven and non-invasive technologies for IVF/NIPT and reproductive health.

Build a sustainable cluster

Develop entrepreneurial, regulatory and transferable skills; amplify impact via dissemination and exploitation.

Work Plan & VELTION Contribution

WP2 – Intersectoral mobility for impactful tools

Secondments and joint R&I in personalised medicine, ART and NIPT, including data sharing, algorithm training and computational tool development.

WP4 – Skills & sustainability

Entrepreneurial and industry-desired skills, with emphasis on responsible innovation, IP, and routes to adoption in clinical workflows.

VELTION Tasks (NTUA)

  • Data structures & computational workflows to support AI/ML in reproductive technologies.
  • Algorithm development support (pattern recognition / image analytics) and reproducible evaluation pipelines.
  • Interoperability and integration of data infrastructures; FAIR-aligned practices.

VELTION’s List of Deliverables (NESTOR)

Below is a practical “VELTION-facing” subset of NESTOR deliverables most relevant to data, computation and AI/analytics. (You can edit this list to match NTUA/VELTION’s exact responsibilities and internal output tracking.)

Deliverable Description WP Lead Due Level
D2.4 IVF data sharing framework for algorithm training WP2 UT M11 SEN
D2.10 New computational tool for integrated genomics data WP2 IN M20 SEN
D2.14 New AI approach for image recognition WP2 UM M30 SEN
D3.3 Report on interoperability of interconnected data infrastructures & standards for data management WP2 UM M35 SEN
D5.1 Website online and communication channels established WP5 AUT M6 PU
D6.3 Data and IP management plan (DMP) WP5 UT M6 SEN

Tip: if you want to list all project deliverables, you can extend the table using the project’s official deliverables list.

Consortium

Core partners and roles (edit as needed).

Coordinator

University of Tartu (UT) — coordination & overall management.

Academic Partners

AUT, UM, NTUA — research, training, data/clinical studies & methods.

Industry / Innovation Ecosystem

CCHT, AN, INFS, BMHC — translation to products/services, hosting secondments & skills.

Results & Outputs