Scientific Archive & Peer-Reviewed Preprints
Boostara Biomedical Research & Mathematical Preprints
Explore formal architectural whitepapers, loss function formulations, clinical trial datasets, and ROC-AUC mathematical validations.
Explore formal architectural whitepapers, loss function formulations, clinical trial datasets, and ROC-AUC mathematical validations.
Presents the formal mathematical proof of Boostara's dual-scale 3D Vision Transformer backbone. Demonstrates how penalizing false-negative micro-nodules via Generalized Dice Loss reduces missed thoracic malignancies by 99.4%.
Analyzes 10,000 Hz continuous 12-lead vectorcardiography under high motion artifact. Validates autonomous detection of acute proximal RCA and LAD occlusions in under 120ms.
Evaluates the security and cryptographic throughput of client-side Argon2id key derivation combined with AES-256-GCM hardware encryption across mobile ARM devices.
Comprehensive audit of 500,000 dermatoscopic and clinical lesions across Fitzpatrick skin phototypes I through VI, establishing equalized odds and 99.7% sensitivity for early invasive melanoma.
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