Technology acceptance of machine learning in life sciences: the role of hype perception and journal impact factor

Abstract excerpt

Machine learning (ML) has emerged as a transformative technology across biomedical and life science sectors, with applications spanning drug discovery, medical imaging, genomics, and clinical decision support (Goecks et al., 2020; Patel et al., 2020). Despite exponential growth in ML-related publications, from fewer than 100 articles in 2003 to nearly 25,000 by 2021 (NCBI, 2022), adoption among industry profession...

Topics

Open a Topic to create a Post that cites this publication.

• Cancer-related molecular mechanisms research
• Electronic Health Records
• Heart Failure
• interferon and immune responses
• Machine Learning
• Phenotype
• SARS-CoV-2 and COVID-19 Research
• vaccines and immunoinformatics approaches

Identifiers and source

Literature Corpus work

ceea41cb-4654-5d91-bf29-7e5d551fa02e

DOI

10.64898/2026.06.03.26354262