MPH Nexora, The Florey Institute and University of Melbourne enter landmark data analytics agreement

April 16, 2026

MPH Nexora Pty Ltd, The Florey Institute of Neuroscience and Mental Health, and the University of Melbourne today announced the execution of a landmark data analytics agreement — one of the most significant AI-driven research collaborations in Australian neuroscience.

Under the agreement, the three organisations will combine their institutional expertise and data assets to conduct a comprehensive review of decades of neuroscience research data. The collaboration will focus on major neurological conditions including Alzheimer's disease, Parkinson's disease, Epilepsy, and Multiple Sclerosis — with the shared goal of uncovering new scientific discoveries and identifying pathways to better treatments for patients worldwide.

The MPH Nexora AI platform will serve as the central infrastructure for data synthesis, analysis, and knowledge extraction — applying its Research Synthesiser and AI analytics capabilities to one of the richest and most complex neuroscience datasets in the Southern Hemisphere.

"This agreement is a defining moment — not just for MPH Nexora, but for Australian neuroscience," said Nigel Blair, Founder and CEO of MPH Nexora. "Decades of world-class research from the Florey, now unlocked through AI — this is exactly what we built this platform for. The potential to accelerate discoveries in Alzheimer's, Parkinson's, Epilepsy and MS is enormous, and the human impact could be profound."

The Florey Institute is one of the world's largest dedicated brain research institutes, and the University of Melbourne is consistently ranked among the top universities globally. Together with MPH Nexora, the three-party collaboration represents a powerful convergence of academic excellence, clinical insight, and AI infrastructure.

About Jianai
Jianai is an AI infrastructure platform for the global life sciences sector. Integrating research synthesis, regulatory automation, IP management, clinical trial preparation, and commercialisation enablement into a single secure architecture. Currently in beta with a diverse and growing group of life sciences users spanning research institutes, universities, and industry.

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