Health-care systems are rolling out artificial-intelligence tools for diagnosis and monitoring. But how reliable are the models? https://t.co/so5Rgb3AhP
“Lab members are typically in charge of their own data and notes. But institutional memory is better served if the team works together...” https://t.co/TZVH3MuWQH
NIH Data Management and Sharing - Jan 2023: “although the policy might require researchers to spend extra time organizing their data, ... the potential long-term boost in public trust for science will justify the extra effort.” https://t.co/6G23memu5n
“the larger spotlight on COVID-19 preprints has raised concerns the media and public could misconstrue the results of early studies as finalized science and use it to make personal health decisions”
https://t.co/jeiz9XZkeP
The long-standing issue often occurs when the abbreviated form of a gene’s name is incorrectly recognized as a date and autocorrected as such by Excel or Google Sheets. e.g. SEPT4 (septin 4) and MARCH1 will be automatically changed to 4-Sep and 1-Mar. https://t.co/xR3PDajipw
In short, adding more animals to your experiment is fine. The problem is in using statistical significance to make decisions about what to conclude from your data. https://t.co/fYAcBvCWnm