Improving the efficiency of oncological diagnosis of the breast based on the combined use of simulation modeling and artificial intelligence algorithms
AV Khoperskov, MV Polyakov - Algorithms, 2022 - mdpi.com
This work includes a brief overview of the applications of the powerful and easy-to-perform
method of microwave radiometry (MWR) for the diagnosis of various diseases. The main …
method of microwave radiometry (MWR) for the diagnosis of various diseases. The main …
Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using a machine learning approach
Background For patients with breast cancer undergoing neoadjuvant chemotherapy (NACT),
most of the existing prediction models of pathologic complete response (pCR) using …
most of the existing prediction models of pathologic complete response (pCR) using …
Real-world perioperative treatment patterns and economic burden of recurrence in early-stage HER2-negative breast cancer: a SEER-Medicare study
Aim This study aimed to describe treatment patterns and quantify the economic impact of
recurrence in early-stage human epidermal growth factor receptor 2 (HER2)-negative breast …
recurrence in early-stage human epidermal growth factor receptor 2 (HER2)-negative breast …
[HTML][HTML] A Preliminary Analysis of Ki-67 Expression in Breast Cancer in the Caribbean
JA Jogie, A Maharaj, T Mahase, S Bhagwandeen… - Cureus, 2023 - ncbi.nlm.nih.gov
Objective: There has been a void of data regarding Ki-67 expression in breast cancer in the
Caribbean. Ki-67 is a widely used marker to determine the grade and prognosis of breast …
Caribbean. Ki-67 is a widely used marker to determine the grade and prognosis of breast …