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A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records

A Deep Learning–Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records

Cohort attrition diagram: structured codes 174* (ICD-9) and C50* (ICD-10) or >4 positive disease sentiments from the augmented curation disease diagnosis model were used for breast cancer. For evidence of metastasis, 197*, 198* (ICD-9), C78*, and C79* (ICD-10) in conjunction with augmented curation were used; * represents all the children codes within the parent code.

Gowtham Varma, Rohit Kumar Yenukoti, Praveen Kumar M, Bandlamudi Sai Ashrit, K Purushotham, C Subash, Sunil Kumar Ravi, Verghese Kurien, Avinash Aman, Mithun Manoharan, Shashank Jaiswal, Akash Anand, Rakesh Barve, Viswanathan Thiagarajan, Patrick Lenehan, Scott A Soefje, Venky Soundararajan

JMIR Cancer 2025;11:e64697

Breast Cancer Vlogs on YouTube: Descriptive and Content Analyses

Breast Cancer Vlogs on YouTube: Descriptive and Content Analyses

A popular subset of vlogs are created by women with breast cancer, in which they document their breast cancer experiences in a publicly accessible digital format. As videos that tend to invite viewers into the lives of their creators, vlogs typically receive high levels of engagement and draw audiences who will continue watching in order to keep up with what creators are doing next.

Nina Morena, Elly Dimya Htite, Yitzchok Ahisar, Victoria Hayman, Carrie A Rentschler, Ari N Meguerditchian

JMIR Infodemiology 2025;5:e66812

Peer Review of “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis”

Peer Review of “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis”

This is the peer-review report for “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis.” Title: “Herpesvirus infections eliminate safeguards against breast cancer and its metastasis: comparable to hereditary breast cancers” The paper [1] hypothesizes that Epstein-Barr virus (EBV) infections promote breast cancer by disabling cancer safeguards.

Anonymous

JMIRx Med 2025;6:e70039

Author’s Response to Peer Reviews of “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis”

Author’s Response to Peer Reviews of “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis”

This is the author’s response to peer-review reports for “Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis.” Title: “Herpesvirus infections eliminate safeguards against breast cancer and its metastasis: comparable to hereditary breast cancers” The paper [2] hypothesizes that Epstein-Barr virus (EBV) infections promote breast cancer by disabling cancer safeguards.

Bernard Friedenson

JMIRx Med 2025;6:e69307

Peer Review for “Applications of Indocyanine Green in Breast Cancer for Sentinel Lymph Node Mapping: Protocol for a Scoping Review”

Peer Review for “Applications of Indocyanine Green in Breast Cancer for Sentinel Lymph Node Mapping: Protocol for a Scoping Review”

This is the peer-review report for “Applications of Indocyanine Green in Breast Cancer for Sentinel Lymph Node Mapping: Protocol for a Scoping Review.” This paper [1] summarized the application value and existing problems of indocyanine green (ICG) in sentinel lymph node (SLN) biopsy of early breast cancer, which has positive significance for improving the accuracy of clinical SLN detection. This study has certain clinical value.

Anonymous

JMIRx Med 2025;6:e69705

Authors’ Response to Peer Reviews of “Applications of Indocyanine Green in Breast Cancer for Sentinel Lymph Node Mapping: Protocol for a Scoping Review”

Authors’ Response to Peer Reviews of “Applications of Indocyanine Green in Breast Cancer for Sentinel Lymph Node Mapping: Protocol for a Scoping Review”

This is the authors’ response to peer-review reports for “Applications of Indocyanine Green in Breast Cancer for Sentinel Lymph Node Mapping: Protocol for a Scoping Review.” This paper [2] summarized the application value and existing problems of indocyanine green (ICG) in sentinel lymph node (SLN) biopsy of early breast cancer, which has positive significance for improving the accuracy of clinical SLN detection. This study has certain clinical value.

Feryal Kurdi, Yahya Kurdi, Igor Vladimirovich Reshetov

JMIRx Med 2025;6:e68769

Effectiveness of Chinese Herbal Medicine as a Complementary Treatment for Neutropenia Prevention and Immunity Modulation During Chemotherapy in Patients With Breast Cancer: Protocol for a Real-World Pragmatic Clinical Trial

Effectiveness of Chinese Herbal Medicine as a Complementary Treatment for Neutropenia Prevention and Immunity Modulation During Chemotherapy in Patients With Breast Cancer: Protocol for a Real-World Pragmatic Clinical Trial

In addition to conventional therapy, an increasing number of patients with breast cancer are seeking Chinese herbal medicine (CHM), as indicated by web-based surveys exploring the perspectives of patients with breast cancer concerning complementary and alternative medicine.

Kai-Hung Wang, Hsuan-Shu Shen, Sung-Chao Chu, Tso-Fu Wang, Ching-Wei Lin, Wei-Han Huang, Yi-Feng Wu, Ching-Chun Ho, Cheng-Yoong Pang, Chi-Cheng Li

JMIR Res Protoc 2024;13:e55662

Evaluation of the Rosa Chatbot Providing Genetic Information to Patients at Risk of Hereditary Breast and Ovarian Cancer: Qualitative Interview Study

Evaluation of the Rosa Chatbot Providing Genetic Information to Patients at Risk of Hereditary Breast and Ovarian Cancer: Qualitative Interview Study

The Rosa chatbot was created to perform humanlike digital conversations about hereditary breast and ovarian cancer, and its development and testing process has been described previously [4]. Rosa is built on a commercially available platform supporting Norwegian language, using machine learning and natural language processing. It has a database of predefined answers about hereditary breast and ovarian cancer written by genetic counselors and geneticists from all health regions in Norway.

Elen Siglen, Hildegunn Høberg Vetti, Mirjam Augestad, Vidar M Steen, Åshild Lunde, Cathrine Bjorvatn

J Med Internet Res 2023;25:e46571