AI-Driven Precision Medicine for Inflammatory Bowel Disease (IBD)
Scailyte is pioneering an AI-driven approach to revolutionize IBD treatment, moving beyond conventional methods to develop a foundational disease model. By integrating high-resolution multi-omics data from deeply characterized patient cohorts with our proprietary ScaiVision AI platform, we aim to discover predictive biomarkers, unravel resistance mechanisms, and identify novel therapeutic targets. This initiative will empower drug developers to de-risk clinical trials and deliver truly personalized IBD therapies, significantly reducing patient suffering and healthcare costs.
The problem: Up to 70% of IBD Patients Don't Respond to Initial Therapy.
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Inflammatory Bowel Disease (IBD), encompassing Crohn’s disease and ulcerative colitis, affects millions worldwide, significantly impacting quality of life.
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Despite advancements, a major challenge persists: current biologic therapies, which are often expensive, fail for up to 70% of patients.
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This leads to a detrimental and costly trial-and-error approach, where patients endure ineffective treatments, prolonged suffering, and increased risk of disease progression, while healthcare systems face escalating costs.
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The critical need is for predictive biomarkers that can identify, before treatment begins, which therapy will be most effective for each individual patient.
Scailyte's solution: Building a Foundational Model for IBD Precision Medicine
At Scailyte, we are transforming the IBD treatment paradigm by developing an AI-driven foundational model of the disease. This model moves beyond broad diagnoses to uncover the precise biological mechanisms driving IBD in individual patients.
Our approach integrates high-resolution multi-omics data with advanced artificial intelligence to:
- Define novel IBD endotypes: Subgroups of patients characterized by specific molecular pathways.
- Predict therapy response: Identify which patients will respond to specific biologics.
- Unravel resistance mechanisms: Understand why therapies fail.
- Discover novel drug targets: Accelerate the development of next-generation treatments.
Unrivaled Assets: Deep Data, Advanced AI, and Clinical Expertise
World-Class Patient Cohorts:
- The Swiss IBD Cohort (SIBDC): A meticulously characterized, nationwide, longitudinal cohort (over 2,900 patients) providing a rich history of disease progression and treatment outcomes. Our discovery efforts are anchored in deeply phenotyped subsets from the SIBDC.
- USZ Prospective Real-World Cohort: Access to an ongoing, real-world cohort at Universitätsspital Zürich (USZ), enabling validation in diverse patient populations and covering a broad spectrum of modern IBD treatments (anti-integrins, anti-IL-12/23, JAKi, S1P modulators).
Cutting-Edge Multi-Omics Data Generation:
We generate high-resolution molecular profiles from patient samples, including single-cell RNA-sequencing (scRNA-seq) from blood and spatial transcriptomics from tissue biopsies. This provides unparalleled insight into disease biology at cellular and tissue-microenvironment levels.
Proprietary AI Platform: ScaiVision:
Our unique explainable AI (xAI) platform excels at uncovering subtle, yet highly predictive, biological signals from complex single-cell and multi-omics data, even from rare cell populations. It doesn’t just predict; it provides mechanistic insights, enabling the discovery of novel biology.
Translational Biomarker Development:
We don’t stop at discovery. We specialize in distilling complex multi-omic signatures into simple, clinically viable assays (e.g., targeted gene panels) for use as predictive companion diagnostics (CDx) or patient stratification tools.
Driving Innovation: The Innosuisse-Funded AIomics Project
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Scailyte has been awarded a CHF 800,000 Innosuisse grant to execute the AIomics project in collaboration with Prof. Gerhard Rogler’s team at Universitätsspital Zürich.
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Goal: To create a foundational multi-omics datalake from a well-characterized cohort of IBD patients and apply ScaiVision to discover predictive biomarkers of response to biologics.
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This project is critical for identifying novel signatures that will transform therapy selection, reduce trial-and-error prescribing, and significantly improve outcomes for IBD patients.
Delivering Transformative Value to IBD Drug Developers
IBD drug developers gain:
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Predictive Biomarkers (CDx): Clinically actionable tools to identify responders, de-risk clinical trials, and maximize drug efficacy.
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Deeper Mechanistic Understanding: Uncover the cellular and molecular basis of drug response and resistance, leading to smarter drug development.
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Novel Target Candidates: Identify new biological pathways and targets for developing next-generation IBD therapies.
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Patient Stratification: Define granular patient endotypes for more effective trial design and targeted drug positioning.
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Accelerated Development: Reduce R&D timelines and costs by focusing on the right patients with the right drugs.
Your Partner for IBD Precision Medicine
Unique Data Access: Proprietary access to deeply phenotyped, longitudinal IBD cohorts with diverse treatment histories.
Leading AI Expertise: Proven track record in biomarker discovery from complex single-cell and spatial omics data.
Mechanistic Insights: Our explainable AI goes beyond correlation, delivering biological understanding.
Translational Focus: We deliver actionable, verifiable biomarkers, not just scientific insights.
Proven Collaboration: Demonstrated success in high-value pharma partnerships (e.g., Sanofi in cell therapy).

