I have extensive experience with the online communities (and I have addressed that issue before). The process of visibility (and then discovery) is difficult when you have millions of websites jostling for attention. Users often penalize their attention spans towards gratification (and not necessarily for "learning") despite the best intentions. It seems so easy at … Continue reading Asking questions:What I’ve learned over 10 years on Stack Overflow
The biomarker discovery is littered with failures. This annotation summary provides an overview of why failures happen.
This post was "inspired" by an editorial from Scientific American (and I am riding its coattails) because I needed someone to call out the broken process. The essay does make some generalisations, however. Yet, it is still relevant because we, as scientists (and clinicians) owe it to our patients who look up to us. We … Continue reading Good science, Bad Science: Why don’t we get a “cure” for cancer?
I had planned to do some kind of a "review" for reference managers. However, the author has done a better job than I could do. His workflow dictates Paperpile. I like the application, but their web service is entirely dependent on Google. I dislike Google Drive- it syncs horribly, and there's no comparison for Dropbox. … Continue reading #Reference Manager Showdown: a full review of #Papers 3, #Zotero, #F1000, and #Paperpile (+ ReadCube)
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 … Continue reading #AI #ML in healthcare: Will the twain ever meet?