Advancing Responsible AI in Healthcare
Visual AI, INSERM and Expert.ai showcase a transparent, explainable AI solution that transforms biomedical research while preserving scientific rigor, traceability, and expert oversight
Expert.ai announces significant advancements in biomedical research presented at the “AI for Healthcare – Longevity & Wellness” conference held on April 23, 2026 in Genoa, Italy. During the event, Visual AI, a French start-up specializing in AI for biomedical research, and INSERM, French National Institute of Health and Medical Research, jointly presented an innovative AI solution, developed in collaboration with Expert.ai, designed to improve research through explainable, traceable, and domain expert-controlled artificial intelligence.
Organized by Fusion AI Labs, a center of excellence in applied AI research jointly owned by Expert.ai (majority shareholder) and AI Fusion Holding, the conference brought together leaders in healthcare, science, and applied AI to showcase practical innovation.
From Clinical Need to Scalable Biomedical Intelligence
The solution presented by Visual AI and INSERM originated from a clinical initiative launched in 2022 at a leading European cancer center, to support rare disease research and genomic interpretation. Following proof-of-concept development with academic and clinical partners between 2023 and 2025, the project evolved into a knowledge-graph-based platform that enables experts to structure, explore, and analyze biomedical knowledge at scale.
Visual, Explainable, and Trustworthy AI
During the conference, Maxence Guichard from Visual AI, and PhD Juan Carlos Rengifo Gonzalez from INSERM’s Structure-Activity of Normal and Pathological Biomolecules (SABNP) laboratory, demonstrated how the platform transforms scientific literature into structured visual knowledge, enabling experts to:
- Identify relations between diseases, treatments, genes, and adverse effects
- Improve rare disease and genomic research
- Reduce AI hallucinations through grounded reasoning
- Ensure full source traceability and auditability
- Maintain expert oversight in critical healthcare settings
By combining semantic AI, knowledge graphs, and graph-based reasoning, the solution offers a transparent alternative to traditional black-box AI systems.
Dr Rengifo Gonzalez emphasized the importance of explainability and scientific trust in healthcare AI adoption, while Maxence Guichard demonstrated how Visual AI’s visual reasoning framework allows researchers and clinicians to maintain full control over the analytical process.
Scientific and Clinical Validation
The solution has been evaluated by researchers from INSERM as well as healthcare experts from Kremlin Bicêtre Hospital in Paris.
Feedback from clinical evaluators highlighted the platform’s practical value:
“Full control over the analysis makes the system feel less like a black box.”
- Jérôme Bouligand, Head of Genomic Medicine and Pharmacogenomics, Bicêtre Hospital APHP; Paris-Saclay University and INSERM Unit 1185
“Alongside the essential tracing of sources, the visual and hybrid approach is a game changer.”
- Kenneth Chappell, PhD in Pharmacological Sciences, Bicêtre Hospital APHP; Paris-Saclay University and INSERM Unit 1185
Expert.ai Strategic Support
Expert.ai has championed this initiative from day one, by contributing its expertise in neuro-symbolic AI and explainable reasoning in this healthcare-focused innovation. By transforming biomedical literature into structured, visible knowledge, the initiative highlights how AI can move from research to real-world healthcare impact while maintaining trust, compliance, and scientific credibility: a practical model for the future of healthcare AI, enhancing expert decision-making rather than replacing it.
Christophe Aubry, Global Head of Life Sciences & Healthcare at Expert.ai, commented: “We are proud to support an initiative that demonstrates how transparent, explainable AI can responsibly accelerate biomedical research while preserving the scientific rigor, traceability, and expert oversight required in healthcare.”
For more information about Expert.ai offerings for Pharma and Life Sciences, please visit https://www.expert.ai/industries/pharma-life-sciences/
