Good science, Bad Science: Why don’t we get a “cure” for cancer?

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?

#AI #ML in healthcare: Will the twain ever meet?

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?

Less SoftBank, more venture builders

Today, venture builders are a growing trend around the world; I’ve seen it firsthand in Europe, particularly the startup hubs of Berlin and Amsterdam. There were over 100 VBs globally as of 2018, angel investor Jules Ehrhardt wrote last year in his State of the Digital Nation report on Medium, with over half based in … Continue reading Less SoftBank, more venture builders

Biomedical research, outcomes and survivorship

This post was the result of being tagged in an interesting discussion on Twitter about survivorship. I want to give in my viewpoint. Survivorship isn’t just about a hard clinical outcome. It is about the functional autonomy of an individual. There are various issues tied up here; it wouldn’t be appropriate to discuss survivorship issues … Continue reading Biomedical research, outcomes and survivorship