Hanafi will introduce GraphMedAI, an AI-driven platform revolutionizing oncology care and clinical research by bridging critical gaps between patients, healthcare professionals, scientific experts, and pharmaceutical companies. Attendees will learn how multiagentic AI dynamically constructs, queries, and enriches a Neo4j knowledge graph to deliver real-time precision insights for:
1. Expert collaboration with centers of excellence
2. Data-driven decision-making for researchers and pharma teams
Key technologies demonstrated include:
- Multiagent GenAI: Orchestrates intelligent workflows for trial feasibility analysis and expert-institution matching
- RAG: Integrates live data from PubMed, ClinicalTrials.gov, and partner institutions
- Neo4j graph database: Maps and traverses complex medical relationships (e.g., patient-disease-trial-expert networks)
Attendees will gain:
- Technical insights: How to structure healthcare data in Neo4j for high-performance search and recommendations
- Validation frameworks: Combining open datasets (e.g., PubMed) with clinical expertise to audit AI outputs
- Implementation patterns: Architecting scalable, graph-powered AI solutions for medical research
Designed for healthcare technologists, data engineers, and Neo4j developers, this session will showcase real-world use cases and provide actionable strategies to:
- Reduce trial recruitment timelines using graph-powered patient matching
- Accelerate bibliometric research through AI-augmented knowledge graphs
- Foster partnerships between academia, clinics, and pharma
Speakers
Hanafi Yakouben
Chief Technology Officer, LUX4IT
Hanafi Yakouben, PhD, is a healthcare data scientist and AI architect with 13 years of experience transforming medical research through innovative data solutions. As creator of GraphMedAI, he bridges oncology care and clinical research using Neo4j knowledge graphs and multiagent AI systems. A former Paris Dauphine University researcher, he specializes in translating complex medical data into actionable insights for patients, physicians, and pharmaceutical companies. His work has accelerated clinical trial recruitment, optimized expert matching, and unlocked new research pathways, proving that advanced data science can directly improve patient outcomes when thoughtfully applied to healthcare's toughest challenges.
Zouhair Allaoui
Co-Founder and CEO, LUX4IT
Zouhair Allaoui is the cofounder and managing director of LUX4IT, a Luxembourg-based advisory and AI-solutions firm that empowers organizations with cutting-edge artificial intelligence, advanced data analytics, and intelligent automation.
Holding a master’s degree in Information Systems Security and Parallel and Distributed Systems with 20 years of hands-on experience safeguarding critical infrastructure, Zouhair now focuses on fusing Neo4j graph technology with AI to build secure, explainable, knowledge-driven systems. He currently leads R&D on multiagent GraphRAG architectures—an emerging approach that marries retrieval-augmented generation with Neo4j’s native graph capabilities to deliver context-rich answers and transparent provenance.
A passionate technologist, Zouhair energizes audiences by translating deep technical insights into pragmatic strategies for scaling graph-powered AI while maintaining robust security and governance.
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