Robotics & Machine Learning Daily News2024,Issue(MAY.21) :103-104.

Sichuan University Reports Findings in Personalized Medicine (Ultrasound deep le arning radiomics and clinical machine learning models to predict low nuclear gra de, ER, PR, and HER2 receptor status in pure ductal carcinoma in situ)

Robotics & Machine Learning Daily News2024,Issue(MAY.21) :103-104.

Sichuan University Reports Findings in Personalized Medicine (Ultrasound deep le arning radiomics and clinical machine learning models to predict low nuclear gra de, ER, PR, and HER2 receptor status in pure ductal carcinoma in situ)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting fr om Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “Low nuclear grade ductal carcinoma in situ (DCIS) patients can adopt proactive management strategies to avoid unnecessary surgical resection. Different persona lized treatment modalities may be selected based on the expression status of mol ecular markers, which is also predictive of different outcomes and risks of recu rrence.”

Key words

Chengdu/People’s Republic of China/Asi a/Cancer/Carcinoma In Situ/Carcinomas/Cyborgs/Drugs and Therapies/Ductal C arcinoma/Emerging Technologies/Health and Medicine/Machine Learning/Oncology/Personalized Medicine/Personalized Therapy/Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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