
Research at Mizan Labs
Pioneering the Future of Healthcare with AI/ML to make patient care safer, smarter, and more accessible across borders.
Our Research Pillars
Our work is built on four foundational pillars that guide our innovation in healthcare AI.
-> AI-Powered Translation
Breaking down language barriers between patients and providers with real-time interpretation and translated documentation for smoother, safer communication.
-> Ethical & Transparent AI
Prioritizing fairness, privacy, and transparency. Patients receive clear, understandable explanations to build trust in AI-driven recommendations.
-> Personal Health Concierges
Specialized AI agents acting as personal health guides, answering questions, scheduling appointments, and providing emotional reassurance.
-> Predictive Analytics
Forecasting treatment success, complication risks, and recovery timelines to empower patients with evidence-based choices.
Selected Publications
Our commitment to advancing healthcare AI is reflected in our peer-reviewed research.
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Explores how conversational AI can adapt to individual personalities in therapeutic settings.
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Developed and validated a digital twin of a hospital using AI models.
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Advocated for transparent and standardized reporting of healthcare AI models.
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Investigated methods to reduce false outputs ("hallucinations") in large language models.
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Predicted when patients are likely to delay treatment and the consequences of doing so.
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Created models to predict emergency department load and optimize workflows.
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Addressed issues of bias and equity in medical AI applications.
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Developed explainable methods to identify patient subgroups in EHRs.
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Explored regulatory frameworks for treating AI systems as medical devices.
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Examined fairness concerns in healthcare-focused machine learning systems.
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Validated a model predicting hospital readmissions.
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Studied how missing data complicates explainability in AI.
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Join the Journey
We collaborate with healthcare innovators around the world. If you are a researcher, provider, or facilitator, we would love to hear from you.