Data Science-Template
Demystifying Data Science
With data scientists fully integrated into device development teams, the Minnetronix Medical proven process helps our clients avoid the heavy costs of change and unnecessary data collection.
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The Minnetronix Way
For 25 years, Minnetronix has been helping companies design and manufacture medical devices. Minnetronix has a proven process to get data science solutions integrated with devices in a timely and cost-effective manner. We choose the right approach to data science problems to prevent costly redesign in the future and form the best path to the business result you need. Our data scientists follow a proven process to get data science solutions integrated with devices in a timely and cost-effective manner.
AI Neural Network
How powerful deep learning algorithms can be developed for medical applications while mitigating the cost of input data and optimizing for overall program schedule and budget efficiency.
Traditional Machine Learning.
How AI and Traditional Machine Learning techniques can inform medical device requirements and design.
Traditional Heuristic.
How deploying traditional heuristic algorithms can shorten time to market while keeping options open for future AI development.
Informative Analysis​.
How Informative Analysis techniques can be integrated into a non-algorithm-based medical device to support improved functionality, proof of clinical efficacy, and future use cases.
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