MATLAB and Simulink Seminars

Deploying Digital Health Applications on the Cloud


Artificial intelligence (AI) is increasingly gaining traction in the medical devices industry, driven by use cases in digital health such as automating the analysis of biomedical data, mining clinical records to improve healthcare outcomes, personalizing treatments, and developing devices. Discussions on incorporating AI into Software as a Medical Device (SaMD) indicate that there is a growing interest in developing and deploying digital health-based solutions within medical device and pharmaceutical companies.

In this session we will show how you can bring your digital health applications from MATLAB to the cloud, starting from web applications for internal use to professional and scalable enterprise platforms.


  • Incorporate machine learning and deep learning into digital health applications
  • Create a graphical user interface for your AI applications and deploy these as a web app
  • Integrate digital health AI applications within your cloud infrastructure without recoding
  • Provide your digital health AI applications as Software as a Medical Device (SaMD)

Who Should Attend

Researchers, data scientists and cloud architects looking for ways to integrate digital health AI applications into deployed cloud infrastructures

About the Presenters

Paola Jaramillo is an application engineer at MathWorks in Eindhoven, The Netherlands. She specializes in signal and image processing, computer vision, and machine learning. Her primary interests are sensor data analytics and autonomous systems. Prior to joining the MathWorks in 2016, she worked for five years as a researcher on the fields of machine learning and signal processing for intelligent lighting systems at the Eindhoven University of Technology in The Netherlands. Paola holds a master’s degree in Electronic Engineering from Politecnico di Torino in Italy and carried out a six-month internship in the area of Structural Health Monitoring at IBM Zurich Research Laboratories in Switzerland.

Christoph Kammer is an application engineer at MathWorks. He supports customers in many different industries in the areas of machine and deep learning, image and signal processing and deployment to embedded or enterprise systems. Christoph has a master’s degree in Mechanical Engineering from ETHZ and a PhD in Electrical Engineering from EPFL, where he specialized in optimization and control design as well as the control and modelling of power systems.

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