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Showing 1–5 of 5 results
Advanced filters: Author: Mustafa Nasir-Moin Clear advanced filters

  • Large language models can be manipulated to generate misinformation by poisoning of a very small percentage of the data on which they are trained, but a harm mitigation strategy using biomedical knowledge graphs can offer a method for addressing this vulnerability.

    • Daniel Alexander Alber
    • Zihao Yang
    • Eric Karl Oermann
    ResearchOpen Access
    Nature Medicine
    Volume: 31, P: 618-626

  • Cancer is a dynamic disease, with one of its deadly complications being metastatic brain tumors. Here, the authors present a large, multimodal, longitudinal dataset of metastatic cancer, assembled from real world data for cancer research and artificial intelligence (AI) model development. They train time-dependent AI models, and find that novel, dynamic biomarkers exist that are predictive of systemic disease control and overall survival.

    • Katherine E. Link
    • Zane Schnurman
    • Eric Karl Oermann
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-10