Deploying digital health applications on the cloud
|Start Time||End Time|
|8 Nov 2022, 15:00 CET||8 Nov 2022, 16:00 CET|
Do you want to build AI models based on your signal data?
Do you want to incorporate these models into your own web applications?
Do you want to integrate these models within a cloud infrastructure?
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
- Trustable AI: Understand and control the mechanics behind black-box machine learning model
- 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)
About the Presenters
Pierre Harouimi is a senior application engineer at MathWorks in Paris, focused on AI and deployment applications. He holds a master’s degree in Statistics and Economics. Before joining MathWorks, he worked in an asset management company as a data scientist.
Christine Bolliger is a senior application engineer at MathWorks in Bern (Switzerland), supporting customers across different industries in the areas of software engineering, data science and cloud computing. She holds master's degrees in Physics and in Computational Science and Engineering and has a PhD degree in Biomedical Sciences. Before joining MathWorks, she worked as a software engineer and leader of a data science team.
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