About

A synthesis tool for digital twins in clinical practice

Full title: Digital twins for precision medicine. Development of a platform for optimizing diagnostic and therapeutic protocols using 3D synthetic patients.

01 — Background

Main goal

SynthesizeCare is a fully novel approach to building a platform that creates digital twins of patients, that is, a digital anatomical map of each individual patient.

The twins are intended to be used directly in clinical practice. Indirectly, they become the basis for more specialized digital twins for targeted therapies, each of which draws on the digital anatomical map of the patient concerned.

SynthesizeCare therefore acts as the vehicle that opens the way for digital twins with immediate application in operational clinical systems.

Project at a glance

  • AcronymSynthesizeCare
  • Start28 November 2025
  • PartnersBIOEMTECH (coordinator), IKNOWHOW
  • Grant€ 799,970.00
  • CallRESEARCH – INNOVATE, Programme Competitiveness, ESPA 2021–2027

02 — Methodology

Four phases

The work moves from evidence and data, through development and clinical evaluation, to the commercial exploitation of the results.

  1. Preparation

    • Literature review
    • Data collection

  2. Development

    • Data processing
    • AI development
    • Evaluation
    • Graphical user interface

  3. Evaluation & optimization

    • Clinical evaluation
    • Optimization

  4. Commercial exploitation

    • Intellectual property
    • Business plan
    • Market analysis
    • Patent

Input, processes, output

The synthesis tool follows a simple contract: anatomical images go in, a validated anatomical digital twin comes out.

  • A — Input

    Anatomical imaging

    • Collection of anatomical images (CT and MRI) in transverse, sagittal and coronal planes
    • Anonymized DICOM data from clinical routine
    • Definition of organs with TotalSegmentator (for example heart, aorta, esophagus, trachea)
  • B — Processes

    Learning the anatomy

    • A dataset of paired clinical images and segmentations
    • Models trained to predict whole-body organs, including 3D reconstruction of parts missing from the scan
    • Evaluation and validation to create a 3D digital population
  • C — Output

    The twin, in the clinic

    • Graphical interface: load a DICOM study, submit, receive the anatomical digital twin
    • Clinical evaluation with integration into the EVORAD PACS
    • Digital population and pilot use cases

03 — Technology readiness

From proof of concept to a demonstrated system

SynthesizeCare starts at TRL 3 and is planned to reach TRL 6, carried jointly by BIOEMTECH and IKNOWHOW.

  1. 9Actual system proven in operational environment
  2. 8System complete and qualified
  3. 7System prototype demonstration in operational environment
  4. 6Technology demonstrated in relevant environmentTarget
  5. 5Technology validated in relevant environment
  6. 4Technology validated in lab
  7. 3Experimental proof of conceptStart
  8. 2Technology concept formulated
  9. 1Basic principles observed

04 — Work packages

The work plan

The database (WP1) feeds the learning algorithms (WP2) and the clinical software (WP3), which iterate with each other and with the clinical evaluation (WP4). Exploitation, training and clinical impact (WP5) run alongside throughout, leading to digital twins in clinical practice and a Greek innovative pilot use case.

  1. WP1Database of digital twins built from clinical dataLead: IKNOWHOW
  2. WP2ML/DL algorithms for generating digital patientsLead: BIOEMTECH
  3. WP3Software for creating digital twins for clinical applicationLead: IKNOWHOW
  4. WP4Clinical evaluation of the digital twins and their use in diagnostic and therapeutic protocolsLead: BIOEMTECH
  5. WP5Commercial exploitation of results, training activities and clinical impactLead: BIOEMTECH

05 — Consortium

Partners

  • BIOEMTECH logo

    Coordinator · leads WP2, WP4, WP5

    BIOEMTECH

    BIOEMTECH develops imaging technologies and provides research services that help promising drugs move from preclinical research towards clinical translation. In SynthesizeCare the company coordinates the project, develops the ML/DL algorithms that generate digital patients, leads the clinical evaluation of the twins and is responsible for exploitation, training and clinical impact.

    Kleisthenous 271, 153 44 Gerakas, Athens, Greece
    bioemtech.com
  • IKNOWHOW logo — Crafting Empowering Technologies

    Partner · leads WP1, WP3

    IKNOWHOW

    IKNOWHOW (IKH) delivers software solutions for the public and private sector and custom automation for industry. In SynthesizeCare the company builds the database of digital twins from clinical data and develops the software that creates digital twins for clinical application.

    340 Kifisias Avenue, 154 51 Athens, Greece
    iknowhow.com

06 — Funding

Co-funded by the European Union

SynthesizeCare is co-financed by the European Union and Greek national funds through the Programme Competitiveness (ESPA 2021–2027), under the call RESEARCH – INNOVATE (project code: ΕΚΠΑΡ01-0015175).

The action RESEARCH – INNOVATE (ΕΡΕΥΝΩ – ΚΑΙΝΟΤΟΜΩ) supports research, technological development and innovation carried out by Greek enterprises and research organisations. It is managed by the Special Service for the Management and Implementation of Actions in the fields of Research and Innovation (ΕΥΔΕ ΕΚ) of the Hellenic Ministry of Development.

Logo of the action ΕΡΕΥΝΩ – ΚΑΙΝΟΤΟΜΩ (Research – Innovate)