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  1. The fundamental goals of cancer informatics are: (1) to organize data in a way that is comprehensible and meaningful to clinicians, researchers, and patients; (2) to use data to advance cancer care and treatment; and (3) to yield new insights through data analysis [2].

  2. 15 Νοε 2018 · Information technology (IT) can enhance or change many scenarios in cancer research for the better. In this paper, we introduce several examples, starting with clinical data reuse and collaboration including data sharing in research networks.

  3. The network provides a data communication system between a group of interconnnected computers. The computers on the network share information, application software and peripheral devices such as printers.

  4. 30 Νοε 2021 · Research: The convergence of research in behavioral medicine and emerging digital technologies afford enormous opportunities to enhance screening, early detection, treatment, and survivorship, thereby reducing the burden of cancer.

  5. 1 Δεκ 2014 · After the introduction of the main elements of electronic health records and a description of what every cancer-care professional should be familiar with, we present a narrative review focusing on the current use of computerized clinical information and decision systems in oncology practice.

  6. 26 Μαΐ 2023 · The I3LUNG use case and our envisioned frameworks for AI-enhanced digital pathology, drug discovery, and cancer treatment collectively illustrate the importance of reconciling multiple classes of data as a foundation for AI-based CDS in clinical oncology.

  7. 4 Ιαν 2023 · AI-based big data assists PM for cancer. Big data technology mainly includes data analysis, mining, and sharing. It may play a revolutionary role in cancer diagnosis, treatment, prevention, and prognosis, but transforming data into available information to benefit patients is almost at a standstill (23, 24).