MATLAB and Simulink for Biotech and Pharmaceutical

Angelika Teglasy

In this blog, we discuss how scientists and engineers can use MATLAB® and Simulink® to hybridize data from various data streams, such as signal, picture, text, and genetic.

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If we have to choose one area where the term data analytics is part of the everyday vernacular, medical sciences would definitely be at the top of the list. The older techniques of curing patients are being replaced by new generations of medical equipment that are powered by AI, machine learning, and deep learning technologies.

Developing and integrating analytics solutions efficiently can be challenging. Common challenges include variance in data quality, selection of appropriate models, deployment of a model to the target environment, etc. etc. The list goes on and on.

In this video series, you will get a brief overview of how scientists and engineers in the biotech and pharmaceutical industries can use MATLAB and Simulink.

MATLAB and Simulink capabilities for biotech and pharmaceutical

Effective team collaboration in MATLAB and Simulink for biotech and pharmaceutical

End-to-end data analytics & modeling workflows for biotech and pharmaceutical in MATLAB

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All products mentioned in this user story are developed by MathWorks.

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Through our various Consulting Services, our experts will guide your team through industry-accepted best practices to improve application and model quality, manage increasing complexity, shorten the time-to-market cycle, and reduce the cost of implementation and maintenance.


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Our training courses are designed to help organizations and individuals close skills gaps, keep up to date with industry-accepted best practices, and achieve the greatest value from MATLAB and Simulink.

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