Health & AI: Personalized Brain Modeling to Optimize Neurological Diagnosis

6 novembre 2025

Project Context

A health-focused start-up wanted to develop an innovative platform for personalized brain modeling to improve the diagnosis and treatment of neurological disorders such as epilepsy and Alzheimer’s disease.

The main challenge was to move from promising research prototypes to an industrializable solution capable of convincing both clinicians and investors, while complying with strict regulatory requirements.


Objectives

The objective was to secure and accelerate the industrialization of the platform by:

  • Auditing and consolidating the existing code
  • Identifying the core algorithms essential to system performance
  • Defining a strategy for evolving toward a high-resolution version suitable for clinical use


Mission Duration

A multi-month engagement combining technical expertise, scientific audit, and strategic guidance.


Implementation

Agaetis implemented a comprehensive approach:

  • Macro audit of existing code: Verification of industrialization standards and code robustness
  • Cataloging key algorithms: Inventory and prioritization of models essential to the functioning of the Virtual Epileptic Patient (VEP)
  • Research gap assessment: Identification of clinical requirements and scientific gaps to achieve industrial maturity
  • AI risk assessment: Analysis of algorithms designed to enhance the quality of medical data through artificial intelligence
  • Strategic support: Preparation of the technical and scientific roadmap to secure future funding


Results Achieved

  • Accelerated industrialization: Transition from research prototype to a platform closer to clinical application
  • Secured investment: Clear vision of the milestones required for market readiness
  • Scientific and technical valorization: Structured documentation of algorithms and applied standards
  • Quantified impact: An estimated €500,000 in additional revenue thanks to an accelerated market release by six months


Key Success Factors

  • Agaetis’ expertise at the intersection of health, AI, and industrialization
  • Methodology combining scientific analysis with technical rigor
  • Ability to support start-ups in transitioning from research to market
  • Close collaboration with clinicians and investors


And You?

Are you wondering about:

  • Industrializing your research prototypes into clinical solutions?
  • Leveraging AI and modeling to enhance your research?
  • Accelerating your roadmap toward a validated, market-ready solution?

👉 Contact our experts to transform your research projects into health solutions ready for the market.

Ressources Agaetis

Emission TV
par Achats Agaetis 10 mai 2026
Introduction En tant qu’architecte technique d’une application mobile et web pour un client, avec l’équipe de développement, nous avons dû nous préparer à recevoir une forte affluence sur un temps très court sur l’application et le site web. Cette application permet aux conducteurs routiers de trouver des points d'intérêt sur une carte. Ils peuvent notamment rechercher des restaurants routiers, des parkings, des stations-service et bien d’autres endroits répondant à leurs besoins, comme la présence de douches ou de machines à laver. L’application intègre également un GPS Poids-Lourd en option. Le samedi et le dimanche sont habituellement des journées calmes pour les serveurs de notre application. Les utilisateurs consultent principalement l’application en fin d’après-midi la semaine afin de préparer leurs arrêts. Nous observons donc généralement une montée progressive du trafic tout au long de la journée avec un pic entre 17h et 18h.
Temps de chargement application
par Simon Dujardin 12 mars 2026
Optimisation d’une application .NET sur Azure : comment nous avons réduit un temps de requête PostgreSQL de 35 secondes à 2,7 secondes grâce à une analyse backend et SQL.
Show More