Biomedical Research Data in the Age of AI

This book offers an alternative to faith-dependent analytical approaches by explaining how original data can be transformed into cogent and compelling interpretations with analytical techniques that are straightforward and accessible to biomedical scientists. Other data-related topics covered in the book are the aesthetics of data or how beauty in data inspires, erroneous data by fraud or honest mistake and what role it plays in biomedical science, the difference between experimental and observational data, the issue of reproducibility of data, and the implications of focusing on original data for peer review leading to both publication and scientific funding. By considering these various subjects, this book has synthesized a philosophy for students to help them develop an effective and appropriate sensibility, for biomedical research investigators to guide them in their studies, for practitioners to assist them in making sense of the complex and largely opaque mechanisms in generating new knowledge for the benefit of their patients and for business professionals who would benefit from a thoughtful consideration of biomedical science.

I think it is worthwhile to indicate that the book may be useful to laypeople motivated to understand biomedical science. The book was written for intelligent and thoughtful readers and does not require an extensive biomedical science background.