Technology
Our Superior
AI Technological Edge
Unlike other platforms, Mavatar’s breakthrough lies not only in our ability to model both the disease and the individual patient at a molecular level, but by decoding disease at a systems level.
The DINA process transforms vast molecular information into curated, clinically relevant insights. Setting Mavatar apart as a next-generation AI and data-driven developer of precision healthcare.
DINA: Our Proprietary Advantage
Developed in-house over two decades, DINA (Deep Integrated Network Analysis) is Mavatar’s proprietary data framework. DINA integrates and standardizes vast biomedical datasets—including every public transcriptomic study ever conducted—to reveal how diseases behave in specific tissues and how different patients respond to therapies.
By overcoming the fragmentation of traditional bioinformatics, DINA delivers unbiased, tissue-specific insights that power next-generation tools like digital twins and predictive treatment simulations. This capability gives Mavatar a scientific and competitive head start that’s extremely difficult to replicate.
Medical Avatars Explained
Medical Avatars are virtual replicas of patients that simulate their biological processes, providing a powerful tool for precision medicine. By integrating vast amounts of biomedical data, including genetic, proteomic, and transcriptomic information, Mavatars model the complexities of individual patient biology.
Mechanisms
Mechanisms behind our Medical Avatars
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Data Collection
Comprehensive data from various sources, such as genomic sequencing, clinical records, and molecular profiles, are collected.
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Model Creation
The data is processed using advanced machine learning and statistical methods to create a detailed virtual model of the patient's biological systems.
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Simulation
The medical avatar simulates how the patient's body would respond to different treatments, considering various biological interactions and environmental factors.
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Analysis
The responses are analyzed to identify the most effective treatment options, predict potential side effects, and optimize therapeutic strategies.
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Mavatar Technology
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Developing a disease model