首页|Fujian Normal University Reports Findings in Lung Cancer (Machine learning-based exosome profiling of multi-receptor SERS sensors for differentiating adenocarci noma in situ from early-stage invasive adenocarcinoma)
Fujian Normal University Reports Findings in Lung Cancer (Machine learning-based exosome profiling of multi-receptor SERS sensors for differentiating adenocarci noma in situ from early-stage invasive adenocarcinoma)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Oncology - Lung Cancer is the sub ject of a report. According to news reporting originating in Fujian, People’s Re public of China, by NewsRx journalists, research stated, “Exosomes, extracellula r vesicles released by cells, hold potential as diagnostic markers for the early detection of lung cancer. Despite their clinical promise, current technologies lack rapid and effective means to discriminate between exosomes derived from ade nocarcinoma in situ (AIS) and early-stage invasive adenocarcinoma (IAC).”
FujianPeople’s Republic of ChinaAsiaAdenocarcinomaCancerCyborgsCytoplasmic StructuresEmerging TechnologiesExosomesHealth and MedicineLung CancerLung Diseases and ConditionsLung NeoplasmsMachine LearningOncologyOrganellesTransport Vesicles
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