AI-powered chest X-ray pneumonia detection with 86% accuracy and 96.4% sensitivity, validated on an independent (cross-operator) cohort of 485 pediatric samples. Built with TensorFlow & FastAPI.
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Updated
Nov 5, 2025 - Python
AI-powered chest X-ray pneumonia detection with 86% accuracy and 96.4% sensitivity, validated on an independent (cross-operator) cohort of 485 pediatric samples. Built with TensorFlow & FastAPI.
Interpretable TCGA-BRCA RNA-seq breast cancer subtype classification with ML, SHAP, pathway enrichment, and METABRIC external validation.
Developed ML algorisms on transcriptomics landscapes identi-fies SPON1 and ALDH1A2 as candidate prognostic biomarkers in TME and serous ovarian cancer progression
Sports activity classification using wearable-device features, XGBoost, and external validation on unseen data.
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