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At Scienith, we help biomedical researchers harness the power of AI to drive smarter data analysis, accelerate discoveries, and improve patient outcomes. Our mission is to broaden access to state-of-the-art machine learning methods—so that even non-technical research teams can extract meaningful insights from complex datasets. Whether you're working with clinical, omics, or imaging data, our solutions are designed to integrate seamlessly into your research workflow. We provide end-to-end ML modeling and analytics services across: 1. Binary & multi-class classification (e.g., cancer detection, treatment response prediction) 2. Survival analysis (e.g., forecasting overall survival or graft failure) 3. Regression modeling (e.g., predicting disease progression or treatment outcomes) Our service emphasizes: 1. Risk-free pilots: Free complimentary data QC and baseline modeling to evaluate feasibility 2. Fast results: Powerful computational platform that deliver insights in days, not weeks 3. Scientific integrity: Full model interpretability and TRIPOD-AI-aligned reporting 4. Programmable deployment: Models delivered in flexible, API-ready formats for integration into downstream tools, decision support systems, or clinical applications

Employees 2 (2 on RocketReach)
Founded 2025
Industry Data Infrastructure and Analytics

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Robin Chan is the Co-Founder of Scienith.

2 people are employed at Scienith.

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