Unlocking Cell Identity with Single-Cell Transcriptomics & AI

Join us for our next illuminating session as we explore the burgeoning world of single-cell data! This week, we'll dive into:

"Large-scale foundation model on single-cell transcriptomics"

The amount of single-cell data being generated worldwide is expanding massively. Transcriptomics data is like a "fingerprint" of cells, revealing their unique character and state. This has wide implications for understanding diseases, as we saw in our previous discussion on the COMPASS paper, where transcriptomics data was crucial for predicting immunotherapy outcomes.

The sheer scale of this data necessitates powerful AI tools for integration and insight. In this session, we'll take a look at a landmark paper that delves into the Tabula Sapiens atlas, a foundational resource for human single-cell biology, and the cutting-edge players involved in developing a large-scale foundation model from it. We'll explore what they've come up with and what we can learn about leveraging AI for massive biological datasets.

As always, this is cutting-edge research, and we hope to learn something more about AI, the vast potential of single-cell transcriptomics, and where the field is at the moment.

Join us for an informal and easy-going get-together to learn and chat about the paper. I will prepare a brief presentation to walk us through it.