The biomarker discovery is littered with failures. This annotation summary provides an overview of why failures happen.
Reason for inclusion: An accurate assessment of treatment-related complications is missing in follow-ups. Practise changing statement: Physician assessment+ Patient report outcomes on a continuous basis will help more to define the extent of problems. We also need more quantitative measures. Page 1 specific information before the design of any particular research study. Patient-specific information may […]
The author writes (and I agree): To me, the choice is clear. In order to get people to listen, we need scholars who are skilled at translating complex ideas into accessible language. Academic elitism should be shunned. It’s a story many students will find familiar. You sit in the library, doing your assigned readings, and […]
Incorporating the Artificial Intelligence in healthcare has several issues. I stumbled on an excellent post in HBR that lists the key deficiency of AI- it is a black box. For all its deficiencies, AI and machine learning will never explain a process of “inclusion and exclusion” or why it came to a decision the way […]
This is an interesting paper coming out from HBR about the “science of learning”. The conflict of interest isn’t mentioned here so I am assuming it is likely to a “plant”. However, I am not missing the woods for the trees. This also has implications in medical training where emulation is encouraged rather than thinking. […]