Videos
Episode 1: Pioneering Clinical Applications with ScaiVision
In Episode 1 of our ScaiVision video series, our Director of Data Science, Sarah Carl, introduces the background on single-cell technologies and overview of ScaiVision, with a focus on the preprocessing steps to ensure high-quality data and give the best chance for successful discoveries.
Episode 2: Cutting through the noise with representation learning
In Episode 2 of our ScaiVision video series, our Director of Data Science, Sarah Carl, dives into our supervised representation learning approach, explaining why this “cluster-free” method is so powerful for cutting through biological and technical noise (like batch effects) to find the true drivers of clinical outcomes.
Episode 3: Unparalleled discovery potential with single-cell resolution
In Episode 3 of our ScaiVision video series, our Director of Data Science, Sarah Carl, dives into the unparalleled discovery potential unlocked by retaining single-cell resolution throughout the analysis.
Episode 4: Explainable AI for clinical translatability
In Episode 4 of our ScaiVision video series, our Director of Data Science, Sarah Carl, dives into how we use Explainable AI to simplify complex biomarker signatures. Learn how Scailyte is bridging the gap from discovery to clinically translatable assays, bringing us closer to impactful precision medicine.
Episode 5: Sensitive, interpretable and translatable biomarker discovery in endometriosis
In Episode 5 of our ScaiVision video series, our Director of Data Science, Sarah Carl, brings together the key concepts to present an end-to-end example of how ScaiVision enables biomarker discovery from complex single-cell data, leading to a clinical assay prototype.
