Viewing profile — panabee

The overall dataset was very large (8,972,221 deaths), but only 1,348 ambulance drivers were included, and just 10 had Alzheimer’s disease as the underlying cause of death. Such a …

How to notify you once v0 is ready -- just comment here?

How to notify you once v0 is ready -- just comment here?

Will aim to ground the framework -- Cancer Mini-101 for Engineers -- in personal use cases. I hope it will be helpful for you.

Great question. The bar for proof in biomedicine is naturally high. I only shared facts because so much is unknown. If you can find a lab exploring the question, maybe you can supp…

I will aim to put together a Cancer 101 for engineers, not sure how to share. Maybe I'll post here or will post to our biomedical GitHub so it can evolve over time?

For people questioning why to involve GPT and AI assistants: GPT and AI assistants cannot be fully trusted, but they can personalize learning. The chief challenge for the framework…

On second thought, I will publish something regardless of interest. It will be an "Cancer for Engineers" framework, delivered via free, open-source Custom GPTs and Claude Skills. (…

Here are more fascinating facts about caffeine and cancer. Caffeine affects the immune system via at least two opposing mechanisms. Mechanism 1: A2A receptor antagonism (immunostim…

If you're a wealthy person lacking a neurobiology background, how do you decide which research efforts are the most promising? Which labs do you back? Generally, you rely on expert…

TLDR: gatekeepers stifled exploration and innovation. When a topic only has a limited number of experts, those experts become gatekeepers. Those gatekeepers directly or indirectly …

VCs are soccer stars, but founders play basketball. It’s easy to dunk on VCs, but the herd effect is rational after considering the typical VC’s background, the intense competition…

The association between pathogens and cancer is under-appreciated, mostly due to limitations in detection methods. For instance, it is not uncommon for cancer studies to design ass…

A more accurate title: "Are Cornell Students Meritocratic and Efficiency-Seeking? Evidence from 271 MBA students and 67 Undergraduate Business Students." This topic is important an…

Thanks. This is helpful. Looking forward to more of your thoughts. Some nuance: What happens when the methods are outdated/biased? We highlight a potential case in breast cancer in…

Valid critique, but one addressing a problem above the ML layer at the human layer. :) That said, your comment has an implication: in which fields can we trust data if incentives a…

If you agree that ML starts with philosophy, not statistics, this is but one example highlighting how biomedicine helps model development, LLMs included. Every fact is born an opin…

100% agreed. I also advise you not to read many cancer papers, particularly ones investigating viruses and cancer. You would be horrified. (To clarify: this is not the fault of sci…

To elaborate, errors go beyond data and reach into model design. Two simple examples: 1. Nucleotides are a form of tokenization and encode bias. They're not as raw as people assume…

This is long overdue for biomedicine. Even Google DeepMind's relabeled MedQA dataset, created for MedGemini in 2024, has flaws. Many healthcare datasets/benchmarks contain dirty da…

The author is a respected voice in tech and a good proxy of investor mindset, but the LLM claims are wrong. They are not only unsupported by recent research trends and general patt…

More like alarming anecdote. :) Google did a wonderful job relabeling MedQA, a core benchmark, but even they missed some (e.g., question 448 in the test set remains wrong according…

Thanks, but no one truly understands biomedicine, let alone biomedical ML. Feynman's quote -- "A scientist is never certain" -- is apt for biomedical ML. Context: imagine the human…

Agreed. There is deep potential for ML in healthcare. We need more contributors advancing research in this space. One opportunity as people look around: many priors merit reconside…