Dive into the forefront of scientific advancement with Scailyte’s groundbreaking AI platform, ScaiVision. Discover how our algorithm’s unmatched robustness and accuracy are reshaping biomarker identification. From accurate signatures to unwavering reliability, ScaiVision is leading the way. Ready to witness the future of data-driven discovery? Click below to watch the video and stay tuned for more exciting insights!
Continue readingEmpowering Precision Healthcare with Unparalleled Discovery Potential
From revealing hidden insights to transforming healthcare, ScaiVision is rewriting the rules of discovery. Join us in this journey of discovery. Let’s reshape the boundaries of what’s possible in healthcare, one breakthrough at a time.
Continue readingAccelerating Discoveries with Scailyte’s Speed Strength
In the world of clinical research and development, time is of the essence. Our mission at Scailyte is not just to innovate, but to revolutionize the way we approach discovery. Today, we’re shedding light on our Speed Strength – an edge that transforms the landscape of clinical R&D.
Continue readingNurturing Wellbeing in Our Workspace: Prioritizing People’s Growth
At Scailyte, our commitment to ESG goes beyond numbers. It extends to every individual within our vibrant team. Today, let’s delve into how our Workplace Wellbeing initiatives align with our ESG principles, fostering a culture of growth and balance. These are more than just initiatives, but are our way to care about Scailyters:
Continue readingDiscovering next-generation biomarkers through integration of single-cell biology and artificial intelligence
Single-cell technologies have enabled the generation of vast amounts of data from human tissues with unprecedented resolution. While numerous cell atlas efforts have made strides toward describing and cataloging cellular complexity, the full potential of single-cell data in biomarker discovery and clinical applications has yet to be unlocked, in part due to the challenges in analyzing such high-dimensional, complex data. Scailyte has developed a novel approach combining single-cell analysis, integration of clinical data, and a tailor-made supervised machine learning platform, which allows for targeted and sensitive biomarker discovery. Here we highlight several discovery projects across different disease areas, including oncology and cell therapy.
Continue readingIdentification of ALP+/CD73+ defining markers for enhanced osteogenic potential in human adipose-derived mesenchymal stromal cells by mass cytometry.
Adipose-derived mesenchymal stem cells represent a relatively novel cell therapeutic modality for promoting bone healing, however they remain relatively uncharacterized on a subpopulation level. Using the forefather algorithm of ScaiVision, CellCNN, the authors were able to exploit CyTOF data to identify an ALP and CD73-double positive population as having a high bone differentiation potential. They could also show that these cells could not only be used to identify promising cell lines for use in bone regeneration, but their levels could also be used as a quality control during manufacturing.
Continue readingHigh-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy
Although it has driven a paradigm shift in how cancer is treated, targeted immunotherapy is oftentimes plagued by low response rates, highlighting the urgent need for biomarkers predictive of response. Here, CellCNN was used to further characterize and confirm the identity of a specific subpopulation of monocytes as being strongly associated with response to anti-PD-1 immunotherapy in stage IV melanoma, paving the road for the selection of tailored treatments for patients.
Continue readingTrue precision medicine through single-cell science
Scailyte’s artificial intelligence-powered platform, ScaiVision, identifies disease signatures that predict drug efficacy and describe drug mode of action to improve clinical outcomes for patients with complex diseases.
Continue readingScailyte’s ScaiVision performs best-in-class at sample class prediction
ScaiVision performs as the best-in-class algorithm at identifying molecular biomarkers, which accurately predict clinical status of the samples. Analysis with ScaiVision unlocks an unparalleled level of high-resolution and clinically relevant discoveries in single-cell datasets.
Continue readingScaiDigest August 2023
Sukalp Muzumdar, our esteemed expert data scientist, has delved into cutting-edge research once again in the latest edition of ScaiDigest!
In the August edition, Sukalp explores the critical aspect of model interpretability in the application of artificial intelligence in the biological sciences.
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