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ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research

Chat GPT has excelled in some recent data analysis applications by completing bioinformatics exercises with high accuracy [6]. A preliminary analysis of Chat GPT’s utility as a data analysis tool found that it provided results consistent with traditional biostatistical software [11]. However, the extent to which Chat GPT can assist with data analysis when the research question is cross-disciplinary remains unclear.

Michael R Ruta, Tony Gaidici, Chase Irwin, Jonathan Lifshitz

J Med Internet Res 2025;27:e63550

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

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

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

The strategy of using bioinformatics to identify markers of “long EBV” may well work for other cancers, multiple sclerosis [103], and other chronic diseases that are currently unexplained. Testing for persistent viral damage in genomes from biopsies is a new method for screening for breast cancer risk. The results may inform further prevention and treatment decisions. Cancer drug therapy has focused on finding and destroying cancer-driver gene products.

Bernard Friedenson

JMIRx Med 2025;6:e50712

Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial

Effect of a Web-Based Heartfulness Program on the Mental Well-Being, Biomarkers, and Gene Expression Profile of Health Care Students: Randomized Controlled Trial

Using the FASTQC tool (version 0.11.9; Babraham Bioinformatics), a qualitative analysis of the sequenced data was carried out. Trimmomatic (version 0.36; Usadel lab) was used to trim low-quality reads, as well as Trueseq adapters. To make sure that the adapters and poor-quality reads were removed, the FASTQC procedure was repeated. Reads were confined to a minimum length of 100 bp. Using the HISAT2 (version 2.2.1) aligner, the trimmed paired fastq files were aligned to the GRCH37 genome (hg19).

Jayaram Thimmapuram, Kamlesh D Patel, Deepti Bhatt, Ajay Chauhan, Divya Madhusudhan, Kashyap K Bhatt, Snehal Deshpande, Urvi Budhbhatti, Chaitanya Joshi

JMIR Bioinform Biotech 2024;5:e65506

Identifying Learning Preferences and Strategies in Health Data Science Courses: Systematic Review

Identifying Learning Preferences and Strategies in Health Data Science Courses: Systematic Review

Abrahamsson and Dávila Lopez [55] analyzed the learning preferences of graduate students in 5 web-based bioinformatics-related courses and found that 91% of the students preferred synchronous and asynchronous lectures, which include visual presentations, while only 9% favored reading materials. Li and Abdul Rahman [52] analyzed the learning styles of bioinformatics students using the FSILS and found that the majority of the students were visual learners (66%).

Narjes Rohani, Stephen Sowa, Areti Manataki

JMIR Med Educ 2024;10:e50667

ChatGPT and Medicine: Together We Embrace the AI Renaissance

ChatGPT and Medicine: Together We Embrace the AI Renaissance

My capabilities include processing and interpreting large datasets, summarizing complex information, and providing insights across various domains, including medicine and bioinformatics. “In the realm of healthcare, my role can be multifaceted. I can assist in managing and interpreting vast amounts of biological and medical data, thereby aiding researchers and healthcare professionals.

Sean Hacking

JMIR Bioinform Biotech 2024;5:e52700