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18th RAIDO Newsletter – September 2026

RAIDO SEPTEMBER 2026 NEWSLETTER [PART 1]

Welcome to the first installment of our September update! This edition highlights some of the latest project activities, technical developments, and partner contributions supporting RAIDO’s vision for Trustworthy and Green AI.

From RAIDO’s presence at IEEE MDM 2026 and the exploration of AI-supported pharmacogenomics to the latest partner spotlight video from UBITECH ENERGY and the final RAIDO platform architecture, this issue showcases the project’s progress across research, real-world applications, and technological development.

RAIDO was represented by project partner UBITECH at the 27th IEEE International Conference on Mobile Data Management (IEEE MDM 2026) in Athens. Through dissemination material and a dedicated platform video at the sponsor stand, participants had the opportunity to discover key RAIDO capabilities, including Explainable AI, data preprocessing and generation, and model distillation. The project’s presence also encouraged discussions with attendees about the platform’s functionalities and potential applications across different AI workflows.

Read more here.

Pharmacogenomics can support safer and more personalised medication decisions by considering how genetic differences affect an individual’s response to medicines. Within RAIDO Pilot 3, VITO and Jessa Hospital are exploring an AI-powered assistant designed to transform complex gene-drug information into clear and accessible guidance for healthcare professionals and patients. The pilot also investigates how AI-generated information can remain reliable, transparent and traceable, providing a real-world setting for RAIDO’s Trustworthy and Green AI technologies.

Read the full blog post here.

The latest partner spotlight video features UBITECH ENERGY (UBE) and its contribution to RAIDO’s development of trustworthy, sustainable, and energy-efficient AI solutions. UBE supports key areas of the project, from architectural requirements and Human-Centred and Ethical AI principles to Green AI orchestration and energy-efficient Edge-to-Cloud solutions. The partner also contributes to the implementation and evaluation of RAIDO’s pilots, helping connect the project’s technical developments with real-world applications.

Watch the full video here.

This public deliverable presents the final RAIDO platform architecture, bringing together the project’s technologies into an integrated ecosystem for Trustworthy and Green AI. Building on the project’s initial architectural design, the final platform supports the complete AI lifecycle, from data management and model training to optimisation, deployment, monitoring, and continuous improvement. Its modular architecture integrates RAIDO’s key components and supports their application across the project’s four pilots and different cloud, edge, and hybrid environments.

Read the full deliverable here.

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