falsenine

Thanks for the reference.

I've heard this as well. Even undergrad was kind of busy for me. Would definitely be better to learn programming before med school.

Interesting, I always thought that residency got busier than med school, I guess it depends on residency type (e.g., surgical, radiology(?), etc). As a resident, do you see any startup opportunities within medicine? For example, I've seen some companies being started around machine learning in say, rad onc or radiology. Wondering how often findings from academic university research laboratories get translated into companies. Of course, there is the occasional biotech startup from wet labs.

Definitely going to check this out, especially as someone applying to medical school. Came upon the same problem with Anki, it's great for memorization but challenging to make a ton of cards.

An aside question: For incoming med students interested in tech, would it be worthwhile to learn programming? I know it would be great for research. But as someone who is unsure about becoming a clinician scientist, it might be a waste of time to learn programming concurrently during med school.

Thanks for the comment. Do you have any feedback for a future physician interested within the intersection of ML + medicine (does not strictly need to be "healthcare")? Would learning ML and all the other things needed to know be helpful (huge time investment needed here)? Ultimately, would be interested in leveraging medical knowledge into a startup capacity.

As someone whose intention is to go to Medical School and pick up programming (+ math skills) to potentially work at the intersection of ML + Healthcare, the knowledge of the regulatory hurdles expressed is discouraging. Not sure if it really is worth the effort to study tech on top of medicine. Are there any people with experience within ML + Healthcare/Medicine or know of startups that are making great strides within this realm?

Thanks for the analysis. Can't say I understood much, but the concept of automating venture investment is an interesting idea. As a side question, what would you recommend a total beginner to learn if they wanted to go from 0 to being competent at neural networks, or machine learning in general. I'm currently dabbling with R in grad school (biology), and I know Python is big within the machine learning world.

Is there a pathway you would recommend (e.g., first learn Python until you're familiar in X, Y, Z, then make sure to learn the required mathematics... etc)? Also, how long would this process of learning roughly take? Been thinking of potentially changing fields after grad school, or maybe working at the intersection of ML and medicine.

How do you develop your story plot? I have been meaning to write a short story and can develop an interesting first "scene" in my mind, but then the story narrative falls flat as I cannot think of what would come next.

Thanks for sharing your knowledge.

I have two questions:

(1) What learning pathway would you recommend a total beginner in programming to follow in order to develop their own microstartups or side projects?

(2) How do you come up with an idea for a given microstartup? Is it an organic process, or is it more about thinking actively of potential business plans? Do you have any advice regarding idea generation?

Dune. The film score and sound design were really great.

What are the long-term implications of the valuation of Tesla if Musk succeeds in this/other energy ventures?

Thanks for the advice. It really has motivated me. It's good to know that you do not need to know everything in a language to become competent, my perfectionist self often approaches learning in an all-or-nothing manner.