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.

Independent external validation, recalibration & fairness audit of EchoNext-Mini (AI-ECG for structural heart disease) in MIMIC-IV

Sports activity classification using wearable-device features, XGBoost, and external validation on unseen data.

Biomedical abstract sentence classification workflow with calibration and external validation

Reproducibility code, processed data, out-of-fold predictions, and machine-readable results for leakage-aware e-commerce product classification using Mercadona and Amazon Reviews 2023.

Designed and validated a computational oncology pipeline for hepatocellular carcinoma using RNA expression data, integrating machine learning, survival analysis, SHAP explainability, tumor microenvironment deconvolution, and multi-cohort external validation for precision medicine applications.

Developed ML algorisms on transcriptomics landscapes identi-fies SPON1 and ALDH1A2 as candidate prognostic biomarkers in TME and serous ovarian cancer progression

근감소증 예측 멀티모달 ML - 체성분/악력/음성/터치 피처, CatBoost+앙상블, 다기관 외부검증 (부트스트랩 AUC CI, 합성 데이터로 재현)