2025-06-08 –, Hardwick Hub
Code changing lives? Absolutely. We're diving into Python's power to deploy cutting-edge solutions for lung cancer diagnosis and treatment in medical and surgical robotics. Expect demos showcasing algorithms, data analysis, and real-world impact—bridging MedTech innovation and life-changing solutions. Ready to see Python revolutionize lung health? Join us. Let's code a healthier future together!
This talk will provide a demo of a deep learning model developed using Python for lung nodule detection and classification in medical images. The model, built with 3D Convolutional Neural Networks (CNNs), is trained on public datasets (TCIA, LUNA16) and will be evaluated using metrics such as accuracy, sensitivity, specificity, and AUC-ROC. The talk will include:
* Preprocessing and augmentation techniques used to handle medical image data.
* An overview of the 3D CNN architecture and training process.
* Visualizations of the model's output, showing detected and classified lung nodules.
* A discussion of how this model could be integrated into a robotic-assisted bronchoscopy system, potentially using ROS, to guide instrument placement during biopsies.
The session will highlight the practical application of Python's libraries (TensorFlow/PyTorch, OpenCV, Scikit-learn) in medical image analysis and demonstrate how these techniques can contribute to advancements in lung cancer diagnosis and treatment within the MedTech industry.
No previous knowledge expected
Lilinoe Harbottle an Indigenous (Kānaka Maoli) Data Scientist passionate about revolutionizing healthcare with technology. At a startup based in San Francisco, she leads AI initiatives, developing cutting-edge models for autonomous systems and natural language processing. Her expertise in Python, SQL, and advanced analytics transforms data into actionable insights. Previously at Johnson & Johnson, she enhanced medical robotic systems, including real-time telemetry for bronchoscopy and urology procedures, improving efficiency. A champion for STEM inclusion, she is active in Google's Women Techmakers and the American Indian Science and Engineering Society (AISES).