Ashish, I've long been a fan of your work and am excited to see you share InpharmD here.
1. What are your thoughts about partnering or selling to pharma / biotech / R&D orgs? Is there a potential value prop?
2. How does this compete with or complement existing clinical informatics and medical librarian capacity at academic medical centers? Or are they not the target market because they already pay salaries for humans to do these tasks? How do above entities relate to what the PharmDs do?
Estimating a minimum required sample size is one of the most common questions asked by clinical or biomedical collaborators before embarking on a research project. This is especially true when ML is an option. This paper provides rules of thumb and a digestible amount of theory that could inform such conversations, and will surely become a popular reference.
Note intuition from traditional statistics does not universally apply to deep learning and/or extremely high-dimensional data. For example, deep neural networks with 1-4 orders of magnitude more parameters than training examples can still generalize well to unseen data.
They develop open-source platforms that are inspired by and seek to solve problems lived firsthand by collaborators (such as myself) and the greater scientific community.
The Broad has created an environment and provided resources to enable engineers to do great work. The DSP feels like a blend between tech company and academic research institution. The people I've interacted with are technically superb (and also nice).
If you are interested in contributing to the intersection of life science and compute, would strongly recommend you check them out.
This may be off topic if you consider above to not be sufficiently "blue collar", but biomedicine in general (from the entire spectrum of basic science all the way to care delivery) is in dire need of smart computational folks.
1. What are your thoughts about partnering or selling to pharma / biotech / R&D orgs? Is there a potential value prop?
2. How does this compete with or complement existing clinical informatics and medical librarian capacity at academic medical centers? Or are they not the target market because they already pay salaries for humans to do these tasks? How do above entities relate to what the PharmDs do?