Robotics & Machine Learning Daily News2024,Issue(Nov.18) :80-81.

Southeast University Reports Findings in Leukemia (Combining array-assisted SERS microfluidic chips and machine learning algorithms for clinical leukemia phenot yping)

东南大学报告白血病的发现(结合阵列辅助的SERS微流控芯片和机器学习算法用于临床白血病Phenot Yping)

Robotics & Machine Learning Daily News2024,Issue(Nov.18) :80-81.

Southeast University Reports Findings in Leukemia (Combining array-assisted SERS microfluidic chips and machine learning algorithms for clinical leukemia phenot yping)

东南大学报告白血病的发现(结合阵列辅助的SERS微流控芯片和机器学习算法用于临床白血病Phenot Yping)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑肿瘤学新研究-白血病是一篇报道的主题。根据来自中华人民共和国南京,NewsRx记者,研究称,"疾病的进展和白血病不同亚型的治疗方案差异很大,强调了其重要性表型分析。然而,由于缺乏高度敏感性,白血病的早期分型仍然是一项艰巨的任务以及具体的分析工具。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Oncology - Leukemia is the subjec t of a report. According to news reporting fromNanjing, People’s Republic of Ch ina, by NewsRx journalists, research stated, “The disease progression andtreatm ent options of leukemia between different subtypes vary considerably, emphasizin g the importanceof phenotyping. However, early typing of leukemia remains chall enging due to the lack of highly sensitiveand specific analytical tools.”

Key words

Nanjing/People’s Republic of China/Asi a/Algorithms/Cancer/Cyborgs/Emerging Technologies/Health and Medicine/Hema tology/Leukemia/Machine Learning/Oncology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文