Most of the articles I read have the majority of the actual research going on in the text, not in whatever the "results" might nominally be. For example, a programming language paper might prove a few theorems about type-soundness, but it's rare that a new type-soundness theorem is really want you want out of the paper; that's just supporting apparatus. What's more interesting is the design discussion, motivation for why this feature was introduced and how it relates to previous features, explanation of how it was implemented, discussion of variants and future work, etc.

If you have some passing familiarity, then the introduction and discussion can help you a lot in understanding the implications proposed for the data. Most biomedical experimentation takes place in the context of considerable amount of uncertainty, e.g. relevance of the model used for human disease, etc, and more, as described in the article you linked to, so it does help many readers to have some kind of context.

The lack of discussion in biomedical articles is likely due to a fear of reprisals.