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WEBINAR: Supervised learning of disease-associated cell states and dynamics

webinar supervised learning cell states

Watch our webinar on supervised learning of disease-associated cell states and dynamics

Webinar on the latest developments in the analysis of single-cell data, including from transcriptomic and imaging technologies.

Recent advances in single-cell technologies have opened the way for high-dimensional, high-throughput, and high-resolution measurements of biological systems. These methods enable capture of rare cell populations, which play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations and their studies in single-cell datasets remains challenging for data scientists.

On the 15th of March, Scailyte will host a webinar with Prof. Dr. Manfred Claassen, a co-founder of the company, who leads the Clinical Bioinformatics & Machine Learning in Translational Single-cell Biology group at University Hospital in Tübingen, Germany. During the webinar, Prof. Dr. M. Claassen will present his research and development of supervised machine learning techniques to study disease-associated cell states and dynamics in different types of single-cell data. The speaker will also highlight a power of multimodal single-cell data integration, such as imaging flow cytometry, in situ proteomic imaging and RNA-seq data, to achieve an unprecedented high precision in his studies of rare cell types and their pathologic behavior.

The format is the following:

  • 5 mins – introduction
  • 20 mins – main discussion
  • 20 min+ – Q&A

Watch the webinar here:  https://youtu.be/BGdYZ5Vy0wI

About Scailyte

Scailyte is an ETH Zürich spin-off with a best-in-class artificial intelligence platform for the discovery of complex disease patterns from single-cell data. Our solution provides unprecedented insight into the disease and patients’ biology and enables the discovery of new clinically-relevant biomarker signatures by uncovering human’s hidden “single-cell” secrets. 

Scailyte’s proprietary best-in-class data analysis platform ScaiVision™ associates multimodal single-cell datasets (RNA-/TCR-/BCR-seq, proteomics, etc.) with clinical endpoints, such as disease diagnosis, progression, severity, treatment response, and toxicity response to identify ultra-sensitive biomarker signatures and cell functionality states. The performance and clinically-relevant applications of Scailyte’s platform ScaiVision have been demonstrated in well established CAR-T cell therapies and various clinical projects in Oncology and Immunology.

For more information, visit www.scailyte.com and connect on social media @LinkedIn and @Twitter.

ScailyteTM and ScaiVisionTM are registered trademarks proprietary to Scailyte AG.

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