Commentary

Critical analysis, essays, and dialectics on the field.

The Unrealistic Expectations Problem: How Modern Labs Demand Expertise They Never Train
A silent but pervasive contradiction shapes modern biomedical research: **the expectation that every scientist should somehow be a biologist, a statistician, a data engineer, and a machine-learning pr...
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The Hidden Burden: Why Non-Programmer Scientists Struggle With Code in Modern Biomedical Research
Biomedical science today assumes a technical fluency that most researchers were never trained to develop. The gap is structural, not personal. Labs increasingly depend on computational pipelines—RNA-s...
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The Case for Accessible Tools: Why Scientists Need AI-Driven Analysis Instead of More Coding
The core problem isn’t that scientists can’t learn to code. Many can.
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