In today’s world, life sciences and healthcare companies face major challenges — managing complex datasets, accelerating drug discovery, and advancing precision research. Limited resources and high costs often hinder innovation and delay critical breakthroughs.
In this webinar, you will learn how it is possible to overcome these challenges using AI cloud infrastructure and advanced machine learning tools developed by Nebius — the ultimate cloud platform for AI explorers, backed by NVIDIA and Accel.
You will also discover the potential of single cell foundational models. Single-cell datasets are vast, capturing an unprecedented level of biological resolution. However, translating this rich data into patient-level outcomes and actionable insights remains a significant challenge. The single-cell model developed by Converge Bio, in collaboration with Nebius, addresses this gap by creating a foundational model that can identify patient-level patterns while fully leveraging the granularity of single-cell data.
This breakthrough has the potential to drive major advancements in areas such as clinical development, where companies seek to better understand which patients will or will not respond to a given treatment.
Key Topics:
- Key industry challenges in Life Sciences and Healthcare
- How AI & ML tools can address these challenges
- Leveraging AI cloud infrastructure for single-cell analysis and clinical development
- Converge-SC Model by Converge Bio: development process and focus use cases
- Addressing performance issues and reducing time-to-results in Life Sciences
Why Attend?
- Learn how Nebius enables cost-effective innovation.
- Discover how AI can transform single-cell data into patient insights.
- Explore real-world cloud solutions for Healthcare R&D.
For whom
This webinar will be interesting for commercial companies, scientific and educational institutions operating in the field of:
- Life Sciences & Drug Discovery
- Genomics & Multi-Omics
- Healthtech