{"data":{"id":"effd8272-1ef5-4aec-9fae-5a6c4dcc8d14","title":"Reinforcement Learning-Enhanced Dynamic LSTM Training With Meta-Feature Extraction for Small Time-Series VOC Datasets in CKD Detection","summary":"This research proposes an AI-based system that uses deep learning and reinforcement learning (RL, a machine learning approach where an AI learns by receiving rewards for good decisions) to detect disease markers in exhaled breath by analyzing volatile organic compounds (VOCs, small carbon-based chemicals produced by the body). The system is designed to work well even with small datasets and aims to improve early disease detection, particularly for chronic kidney disease, through a noninvasive and cost-effective diagnostic method.","solution":"N/A -- no mitigation discussed in source.","labels":["research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11285886","publishedAt":"2025-12-09T13:16:32.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":[],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2025-12-09T13:16:32.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}