A hybrid deep learning and radiomics system reported it could detect subjective cognitive decline—an early preclinical Alzheimer’s stage—from routine MRI scans with nearly 89% accuracy. In cancer imaging workflows, an AI system and radiomics approach to predict prostate chemotherapy response fused pretreatment MRI and whole slide pathology and outperformed standard staging in locally advanced nasopharyngeal carcinoma. For safety-critical governance, a new open framework proposed defense for federated learning against backdoor attacks, while a separate analysis warned that real-world clinical benefit cannot be read from benchmark accuracy alone. The combined dataset points to a core issue for biotech deployment: performance must be paired with auditable outputs, anti-manipulation safeguards, and validation that survives transfer to clinical workflow constraints.