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Is the muscle loss a side effect of the drug or of the weight loss?
You can lose muscle mass without drugs just by eating poorly (and not doing adequate movement)
Is the muscle loss a side effect of the drug or of the weight loss?
Earlier quoted context omitted.
They did specify "molecule". Certainly not every pharmaceutical occurs naturally, and other materials such as Teflon don't either.
We're part of nature and so everything we do is occurring there. Is the real distinction things that wouldn't exist without human intervention? So, like Teflon and plumcots wouldn't be natural but water and plutonium are. Things that aren't naturally occurring would be supernatural, no?
"the researchers designed a computer algorithm they named "Peptide Predictor" to identify typical prohormone convertase cleavage sites in all 20,000 human protein-coding genes."
so look, when I have to go around talking to normies, they're like, "don't you think AI is going to take over everything?" and for these folks, "AI" means *one thing*: chatgpt or similar LLMs. So when they read this, they're like, "see? AI! we need AI everywhere! chatgpt assistants!" and then I pretty much have to lose my shit and they think I'm crazy, because they have no clue. This is also kind of like how it is deep inside all the corporate hype departments so many of us have to endure where our management is chucking shitty LLM garbage at us all day ordering us to "integrate this ! integrate that! we need AI (by which they mean hallucinating chatbots)".
That is NOT what they used here. They wrote their own algorithm which we'd assume uses some straightforward machine learning approach such as bayesian filtering (edit: it's literally just a python + R script with some training data: https://github.com/Svensson-Lab/pro-hormone-predictor/tree/m...) . and in fact, I bet the researchers are calling this short script "AI" because their investors/bosses/managers are demanding they "use AI". Machine learning is a WAY more accurate term than "AI" which IMO is a completely useless hype term at this point, and it's making our lives as engineers worse having to deal with the whole world thinking robots are taking over and making our bosses obsessed with our having to "use AI" for everything (which is of course because they'd eventually like to have fewer employees).
Isn't the molecule in Ozempic naturally occurring too?
Isn’t everything naturally occurring? It all originates from earth, where else would it come from?
Besides, it doesn’t “all” originate from Earth. If you want to be really uselessly pedantic, nothing on Earth originated on Earth.
They mention AI used to weed out molecules but don't mention how it was used. I'd be interested in know did they use pre-trained models or train one from the ground up.
There are 2 primary uses cases emerging where LLMs are proving advantageous.
1) Summarization --- where the results can be nebulous and it don't really much matter. For example, casual web search.
2) Research based on trial and error where the nebulous results will be subjected to thorough verification --- i.e. this case.
https://www.lawnext.com/2025/02/federal-judge-sanctions-morg...
Is the muscle loss a side effect of the drug or of the weight loss?
According to this article, it's a side effect of Ozempic itself. The article goes on to say that the newly discovered molecule can side-step the side-effect and metnioned that "obese mice treated with daily injections of BRP for 14 days lost an average of 3 grams—due almost entirely to fat loss..."
Anecdotally, a friend of mine was on a diet and exercise regime, then at some point he switched to Mounjaro to reduce cravings, while keeping the same diet and exercise regime (he's a data geek so he documented things pretty well), and his muscle gain maybe slowed a tiny bit, but didn't reverse on Mounjaro.
Sample size of one, but at least it's not zero.