Biomedical Research Data in the Age of AI

This book offers an alternative to faith-dependent analytical approaches, explaining how original data can be transformed into cogent and compelling interpretations with analytical techniques that are straightforward and accessible to biomedical scientists. Some 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, the difference between experimental and observational data, reproducibility of data, and the implications of focusing on original data for peer review.