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1. Wearable_stress_biomarker Wearable_stress_biomarker Public

   Wearable Biomarker of Stress: End-to-end MLOps pipeline (WESAD) using ResNet-1D. Features rigorous LOSO validation, Uncertainty Estimation, CI/CD, and Containerized Deployment.

   Jupyter Notebook 2

2. Heart_failure_risk_prediction Heart_failure_risk_prediction Public

   A biomedical data science project focused on understanding mortality risk in heart failure patients.

   Jupyter Notebook

3. Medical_question_answering Medical_question_answering Public

   A robust Medical RAG pipeline featuring Hallucination Detection and Abstention Logic. Uses Gemma-2-2b and LLM-as-a-Judge evaluation to ensure safe, grounded answers for clinical decision support.

   Jupyter Notebook

4. Diabetic_retinopathy_detection Diabetic_retinopathy_detection Public

   Diabetic Retinopathy Detection: End-to-end deep learning pipeline (EyePACS) using EfficientNet-B3. Features GradCAM explainability, patient-aware validation, CI/CD, and Containerized Deployment.

   Jupyter Notebook

5. Bootstrap-t Bootstrap-t Public

   Efron's Bootstrap-t confidence intervals in Matlab.

   MATLAB

6. NeuroIndexes NeuroIndexes Public

   Giulio's neural data analysis Matlab toolkit.

   MATLAB