End-to-end AI pipelines are being created routinely in industry, and one complaint is that academics can only contribute to one component of the pipeline. Really? Read my blog post for an alternative viewpoint!
“AI on the edge” was a new term for me that I learned from Marc Staimer, founder of Dragon Slayer Consulting, who was interviewed in a podcast. Marc explained how AI on the edge poses a data storage problem, and my blog post proposes a solution!
What is the VA – which stands for Veterans Affairs? This United States federal agency is tasked with ensuring veterans receive their benefits – especially health benefits. Unfortunately, as my blog post explains, the VA is facing a myriad of challenges today, including funding problems as well as corruption.
Wondering what we mean by the National Institutes of Health (NIH)? In my blog post, I explain the NIH’s role in appropriating funding for research, and demystify its role in implementing federal priorities.
GPower case example shows a use-case where we needed to select an outcome measure for our study, then do a power calculation for sample size required under different outcome effect size scenarios. My blog post shows what I did, and how I documented/curated the results.
If you are not sure if you will like doing research in healthcare, instead of starting with big data, start with data collection and get to know the data as it comes into the dataset.