Access to cutting-edge, high-quality molecular medicine techniques is essential for accelerating the translation of research into clinical applications. A novel semantic indexing and information retrieval model for clinical bioinformatics is then presented, followed by an explanation of why the existing databases and portals do not adequately support this goal. A model of the research processes that create and validate these objects is included in the formalism to support their systematic presentation once retrieved. The formalism provides the means for indexing a variety of relevant objects. By creating proof-of-concept encodings and visual presentations of evidence and modalities relevant to the molecular profiling and prognosis of breast cancer and diffuse large B-cell lymphoma (DLBCL), we assess the model's applicability.
KeywordsInformation retrieval; Molecular medicine; Semantic model; Clinical bioinformatics; Predictive Computational models
Published Date: 2023-01-31; Received Date: 2023-01-03
