Insufficient rigor in pre‐clinical and clinical studies |
Adherence to principles of rigor, reproducibility, sex as a biological variable, and including appropriate representation in both preclinical and clinical studies
Reporting adherence to published rigor guidelines
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Animal models do not mirror the human condition |
Studying species that more closely mimic human pathophysiology
In silico modeling human physiology
Basic science studies in humans
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Incomplete understanding of network properties of metabolism |
Build on existing knowledge, tools, and approaches (e.g., by the BRAIN Initiative) to investigate metabolic circuits |
Missing or incomplete data sets |
Adherence to data sharing guidelines |
Clinical trial recruitment |
Optimizing remote participation
Use of monitoring devices
Novel clinical trial designs (using appropriate statistics)
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Poor relevance of measured clinical trial outcomes to patient wellbeing |
Inclusion of advocacy organizations |
Neglect of individual biological differences in clinical trials |
Data‐intensive sub‐analysis methods to capitalize on potentially important biological information |
Excessive proportion of negative trial results |
Rigorous failure analysis |
No validated biomarkers |
Development of biomarkers (at various stages of investigation) within the BEST framework for future clinical studies |