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Next-generation diagnostic pathology / 中华病理学杂志
Article in Zh | WPRIM | ID: wpr-935461
Responsible library: WPRO
ABSTRACT
With the technological progresses and applications of human genome sequencing, bioinformatics analysis and data mining, and molecular pathology and artificial intelligence-assisted pathological diagnosis, the development of clinical medicine is moving towards the era of precision diagnosis and treatment. In the context of this era, the traditional diagnostic pathology is facing unprecedented opportunities and challenges in our history and is striving towards the "next-generation diagnostic pathology" (NGDP). NGDP is based on histomorphology and clinical data, and characterized by the combination of molecular detection and bioinformatics analysis, intelligent sampling and process quality control, intelligent diagnosis and remote consultation, lesion visualization and "non-invasive" pathology as well as other innovative cutting edge interdisciplinary technologies. The NGDP reports will include the results from multi-omics and cross-scale integrated diagnosis for final diagnosis. NGDP will also be applied for predicting disease progression and outcomes, and determining optional therapeutics as well as assessing treatment responses, so that a novel "golden standard" of disease diagnosis can be established. In the near fature, it is necessary to stimulate the innovative vitality of pathology disciplines, accelerate the maturity and application for NGDP, update the theory and technical system of pathology, and perform its important applicable role in the prevention, diagnosis, treatment of diseases so that the futher development of clinical medicine will be promoted and the strategy for maintenance of being healthy in China will be served.
Subject(s)
Full text: 1 Index: WPRIM Main subject: Artificial Intelligence / China / Computational Biology / Pathology, Molecular Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Country/Region as subject: Asia Language: Zh Journal: Chinese Journal of Pathology Year: 2022 Type: Article
Full text: 1 Index: WPRIM Main subject: Artificial Intelligence / China / Computational Biology / Pathology, Molecular Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Country/Region as subject: Asia Language: Zh Journal: Chinese Journal of Pathology Year: 2022 Type: Article