MathWorks MedTech Forum

MathWorks MedTech Forum brings together medical device engineers, researchers, and software teams using MATLAB and Simulink to share practical approaches for building safe, compliant, and scalable medical technologies. The forum highlights modern workflows for automated testing and CI, regulated AI development, cloud deployment, verification for IEC standards, and in silico modeling and simulation.

Agenda

Session descriptions

Session title: Reduce Risk, Cost, and Time-to-Market with Automated Testing and Continuous Integration (CI)

Presenter: Adam Sifounakis, Product Manager, MathWorks

Overview

Medical device companies operate in a highly regulated environment where code must be robust, reliable, and safe. Code quality must be ensured and traced from requirements all the way through development, testing, and deployment. Unmanaged requirements and lack of software testing can lead to delays in time-to-market, software defects, costly redesigns, and product recalls.

To address this, MATLAB offers a comprehensive environment for engineers and scientists to develop, run, and manage their requirements, code, and tests. Engineers can rely on MATLAB's trusted algorithms, intuitive UI, and powerful automated testing framework to develop cutting edge FDA-approved medical devices.

Highlights

• Fundamentals of software testing and why it matters
• Measuring and maintaining high code coverage needed for FDA approval
• The role of requirements management in medical device development and why traceability is essential
• Leveraging CI/CD workflows for scalable, automated quality assurance

Session title: Creating Agentic AI Systems for MedTech: a MATLAB Approach

Presenter: Shweta Pujari, Principal Product Manager for Machine Learning, MathWorks

Overview

As Generative AI adoption accelerates across medical technology, engineering teams are increasingly exploring how agentic AI can be applied to complex, multi-step med tech workflows.

In this session, we will provide an overview of agentic AI offerings from MathWorks and provide details on how users can build domain-specific AI agents in MATLAB.  The presentation will include a live demonstration of a medical technology-focused agent developed in MATLAB. 

Attendees will gain a clear understanding of how agentic AI offerings from MathWorks enable engineers to create agentic AI systems that extend their MATLAB and Simulink workflows, while supporting the responsible adoption of generative AI in medical technology workflows.

Session title: Deploying and Scaling MATLAB and Simulink Workflows in the Cloud for Medical Device Applications

Presenter: Gandharv Kashinath, Principal Product Manager, MathWorks

Overview

As medical devices increasingly rely on data-driven algorithms and connected workflows, the cloud has become a critical platform for scaling development and deployment. This presentation explores how engineering teams can use MATLAB and Simulink on the cloud to simplify algorithm and model development, scale compute and data access, and deploy analytics for real-world medical device applications.

We will walk through common medtech scenarios such as cloud-based algorithm development on large datasets, remote patient monitoring workflows, and deploying MATLAB algorithms as cloud-native services. Through concrete examples, attendees will learn how organizations are leveraging cloud platforms to move from desktop experimentation to scalable, production-ready solutions, without rewriting algorithms or disrupting existing workflows.

The session focuses on practical recommendations and architectural choices that help medical device teams reduce time to deployment, handle growing data volumes, and prepare for regulated, real-world usage – all while maintaining continuity with existing MATLAB-based workflows.

Session title: Shift‑Left Verification for Agile Medical Device Software: Achieving IEC 62304 Compliance with Polyspace

Presenter: Pourash Patel, Senior Application Engineer, MathWorks

Overview

Medical device software engineers are increasingly turning to iterative and incremental agile practices to accelerate the software development process. This shift-left methodology allows teams to streamline their workflows while maintaining a careful balance between speed and stringent regulatory requirements. Among these requirements are critical objectives such as ensuring requirements traceability and producing thorough, compliant documentation in accordance with IEC 62304 standards.

This session will demonstrate how Polyspace static analysis and dynamic testing tools can be incorporated into an agile development environment. By using these tools, software teams can identify and eliminate critical run-time errors and defects during development, resulting in medical device software that meets high standards for reliability and safety.

Workshop title: In Silico Medicine for Modelling and Simulation of Medical Devices

Facilitators:

Pourash Patel, Senior Application Engineer, MathWorks

Terry Denery, Application Engineer, MathWorks

Overview

In silico medicine is the use of computational models and simulations to develop medical devices and pharmaceuticals. These simulation models aim to replicate the anatomy, physiology, and biological processes of the human body. In this hands-on workshop, attendees will learn how to model functional physiological models such as human lungs. Participants will gain practical experience in simulating and analyzing these models, which serve as critical testbeds for medical device development and verification.

Highlights

• Develop and refine models of human physiological systems using MATLAB and Simulink
• Learn to parameterize models for simulating and testing under various conditions
• Closed loop medical device validation using the virtual human model
• Real-time device validation with the human model using hardware-in-the-loop (HIL) technique, bridging the gap between virtual models and physical devices