Future Labs Live 2023
Scailyte will be attending the Future Labs Live 2023
Scailyte will be attending the Future Labs Live event, taking place from 31st May to 2nd June 2023 at the Congress Centre Basel, Switzerland. 🌍🔬
We’re thrilled to announce that Cinzia Donato, our R&D Manager Women’s Health, will be speaking on “Integrating AI into the drug discovery workflow from biomarker treatment response to drug MOA identification.” Her session will be held on 2nd June at 9:00 in Room Lima.
Future Labs Live is the ultimate gathering for labs, bringing together startups, disruptors, lab heads, lab techs, and technology and practice innovators. It’s an opportunity to connect with industry leaders, share insights, and explore the latest advancements in 10 key themes, including AI & Machine Learning, Digital Transformation, Lab Operations & Efficiency, and Data Management.
We’re excited to be part of this diverse and stimulating event, contributing our expertise in AI-driven drug discovery and biomarker analysis. It’s an excellent platform to exchange knowledge, foster innovation, and shape the future of laboratories.
If you’re attending the event, make sure to mark your calendars for Cinzia’s session and find Scailyte’s team in the event to learn more about our cutting-edge solutions.
For more details about the event, visit the official website: https://www.terrapinn.com/conference/future-labs-live/index.stm
#FutureLabsLive #AIinDrugDiscovery #BiomarkerAnalysis #LabInnovation #AIandMachineLearning #Scailyte #FutureofLabs #HealthcareInnovation
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.
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