Multimodal Integration of Oncology Data System (MINDS)

MINDS是一个灵活、可扩展的肿瘤学数据集系统，由莫菲特癌症中心与研究所开发。该数据集整合了超过41,000个病例，来自如癌症研究数据公共体（CRDC）等公共源，形成一个以患者为中心的互联框架。MINDS旨在通过整合多模态数据，包括放射学扫描、组织病理学图像和分子信息，以及临床数据，来优化治疗和深入理解疾病。该系统支持亚秒级查询响应时间，提供了一个界面，用于探索不同数据类型之间的关系，并构建大规模多模态机器学习模型。通过这种方式，MINDS旨在增强研究人员的分析能力，揭示诊断和预后的见解，并促进基于证据的个性化护理。

MINDS is a flexible, scalable oncology dataset system developed by the Moffitt Cancer Center & Research Institute. This dataset integrates over 41,000 cases sourced from public repositories including the Cancer Research Data Commons (CRDC), forming a patient-centric interconnected framework. MINDS aims to optimize treatment and deepen disease understanding by integrating multi-modal data, including radiological scans, histopathological images, molecular information, and clinical data. The system supports sub-second query response times, and provides an interface for exploring relationships between different data types and building large-scale multi-modal machine learning models. In this way, MINDS aims to enhance researchers' analytical capabilities, uncover insights for diagnosis and prognosis, and facilitate evidence-based personalized care.