Team Name | Health DeTech |
Track | Health care & Life Sciences |
Use Case | An agentic AI that scans medical images for cancer, generating interactive visualizations and real-time guidance to accelerate accurate diagnoses. |
Technology | Agentic AI, Cancer Detection DL Models, Grad-CAM Heatmaps, 3D Visualization, Web Interface, Data Preprocessing, Knowledge Integration |
Region | AP (Philippines) |
Team lead | Shanley Clarence Lacanlale |
Team members | |
Social media handles | https://www.linkedin.com/in/sclar/ https://www.linkedin.com/in/nathaniel-escuro-9860b72b8 https://www.linkedin.com/in/alyssa-vii/ https://www.linkedin.com/in/alden-olmedo-b85375295 https://www.linkedin.com/in/aaron-cuevas-713a90381/ https://linkedin.com/in/mikyla-caras-2750b937b https://www.linkedin.com/in/amhir-paguital-9a6a90381/ https://www.linkedin.com/in/andrea-helaena-estrella-0a3b41362/ |
Is your team interested in participating in an interview? | Y |
Optional: Expand on your technology expertise |
Hi @sclar @nates @halle-vii @natsuu @AaronChazers @mikylahc @adrianamhir @andee_est — I’m very inspired by your Health DeTech use case on cancer detection with agentic AI and visualization.
I’d love to join your team if you’re open to additional members. My background:
• Machine Learning / Deep Learning: Python, TensorFlow, PyTorch; experience with CNNs, transformers, and Grad-CAM style explainability
• Medical/Imaging Data: built classification and detection models, preprocessing pipelines, and applied computer vision for segmentation tasks
• Visualization: Tableau, Power BI, Plotly/Matplotlib for dashboards and interactive views
• SAS & Data Analytics: skilled at preparing and managing structured/unstructured data for ML workflows
I can support in areas like medical image preprocessing, explainable AI (heatmaps, visualization), or building the interactive interface.
If you have space, I’d be excited to collaborate and contribute.
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