Transforming big data into discovery in hours using AI and data-driven precision insights
What if you could move from raw transcriptomic data to actionable biomedical insights – in hours rather than months? That’s the promise of Mavatar Discovery, a next-generation research platform now available to researchers, innovators and clinicians. Join us for an engaging lunch session where experts from Mavatar will share how cutting-edge AI and data-driven methods are transforming precision medicine – from early research to real-world impact.
Key Takeaways
- Turning Public Data into Insight – See how vast, unbiased datasets are mined and transformed into curated resources available at a click.
- From Challenges to Solutions – Learn how a fully data-driven approach solves common research bottlenecks in biomarker discovery and translational research.
- Smarter, Faster, More Cost-Effective – Explore how the newest technology saves both time and resources, accelerating your path to impact.
- The DINA Method in Action – Discover how Mavatar’s unique Deep Integrated Network Analysis unlocks the hidden mechanisms of disease.
Speakers
- Max Garvell, Business Development Manager, with 20 years’ experience from the Pharma industry in companies such as Novartis and GSK.
- Parham Pourbozorgi has a Ph.D. in Medical Biochemistry with years of experience in R&D bioinformatics, and AI computer technology.
About Mavatar
Mavatar is a global specialist in AI- and data driven precision medicine solutions. Built on more than 20 years of scientific innovation, our proprietary framework DINA (Deep Integrated Network Analysis), transforms how we understand and treat disease. By creating high-resolution digital twins of both patients and diseases, Mavatar enables faster, smarter decisions across the entire healthcare spectrum – from research labs to real-world care.
Information
- When: to
- Where: Bistro Merge, The Spark building, Medicon Village, Scheeletorget 1, Lund
- Organizer: Medicon Village in collaboration with Mavatar
- Language: English
Registration
Please register no later than Tuesday 25 November 2025
Contact information
- Dimitra Manou
- dimitra.manou@mediconvillage.se