关键词: AI PDT PTT artificial intelligence cancer photoactive agents theranostics

Mesh : Humans Artificial Intelligence Neoplasms / drug therapy diagnosis therapy Photochemotherapy / methods Theranostic Nanomedicine / methods Photosensitizing Agents / chemistry therapeutic use Antineoplastic Agents / chemistry therapeutic use pharmacology

来  源:   DOI:10.3390/molecules29133164   PDF(Pubmed)

Abstract:
According to the World Health Organization (WHO) and the International Agency for Research on Cancer (IARC), the number of cancer cases and deaths worldwide is predicted to nearly double by 2030, reaching 21.7 million cases and 13 million fatalities. The increase in cancer mortality is due to limitations in the diagnosis and treatment options that are currently available. The close relationship between diagnostics and medicine has made it possible for cancer patients to receive precise diagnoses and individualized care. This article discusses newly developed compounds with potential for photodynamic therapy and diagnostic applications, as well as those already in use. In addition, it discusses the use of artificial intelligence in the analysis of diagnostic images obtained using, among other things, theranostic agents.
摘要:
根据世界卫生组织(WHO)和国际癌症研究机构(IARC),预计到2030年,全球癌症病例和死亡人数将增加近一倍,达到2170万病例和1300万人死亡。癌症死亡率的增加是由于目前可用的诊断和治疗选择的局限性。诊断和医学之间的密切关系使癌症患者能够接受精确的诊断和个性化护理。本文讨论了新开发的具有光动力疗法和诊断应用潜力的化合物,以及那些已经在使用的。此外,它讨论了人工智能在分析使用获得的诊断图像中的使用,除其他外,治疗医生。
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