AI applications in genomics and pathology informatics, including ‘Generative AI’

Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future

James C

J Particip Med 2025 (Aug 01); 17:e68261

Download Citation: END BibTex RIS

Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach

David Agustriawan, Adithama Mulia, Marlinda Vasty Overbeek, Vincent Kurniawan, Jheno Syechlo, Moeljono Widjaja, Muhammad Imran Ahmad

JMIR Bioinform Biotech 2025 (Jul 31); 6:e72423

Download Citation: END BibTex RIS

Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study

David Beyer, Evan Delancey, Logan McLeod

JMIR Form Res 2025 (Jul 31); 9:e67457

Download Citation: END BibTex RIS

Using Natural Language Processing to Identify Symptomatic Adverse Events in Pediatric Oncology: Tutorial for Clinician Researchers

Clifton P Thornton, Maryam Daniali, Lei Wang, Spandana Makeneni, Allison Barz Leahy

JMIR Bioinform Biotech 2025 (Jul 24); 6:e70751

Download Citation: END BibTex RIS

Extracting Knowledge From Scientific Texts on Patient-Derived Cancer Models Using Large Language Models: Algorithm Development and Validation Study

Jiarui Yao, Zinaida Perova, Tushar Mandloi, Elizabeth Lewis, Helen Parkinson, Guergana Savova

JMIR Bioinform Biotech 2025 (Jun 30); 6:e70706

Download Citation: END BibTex RIS

Public Awareness of and Attitudes Toward the Use of AI in Pathology Research and Practice: Mixed Methods Study

Claire Lewis, Jenny Groarke, Lisa Graham-Wisener, Jacqueline James

J Med Internet Res 2025 (Apr 02); 27:e59591

Download Citation: END BibTex RIS

Evaluating and Enhancing Japanese Large Language Models for Genetic Counseling Support: Comparative Study of Domain Adaptation and the Development of an Expert-Evaluated Dataset

Takuya Fukushima, Masae Manabe, Shuntaro Yada, Shoko Wakamiya, Akiko Yoshida, Yusaku Urakawa, Akiko Maeda, Shigeyuki Kan, Masayo Takahashi, Eiji Aramaki

JMIR Med Inform 2025 (Jan 16); 13:e65047

Download Citation: END BibTex RIS