There are so many things that digital intelligence could do to advance research and some point will maybe let us run experiments on the cloud given close enough biology simulations etc. But even until then, it could be used to better and faster diagnose people, analyze literature and data from vast sources and chart a "highest chance of curing the person" treatment just like what Gitlabs founder is doing. AI doesn't have to find a cure to disease tomorrow to save more lives.

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the__alchemist a day ago | parent [-]

What sort of biology simulations on the cloud by AI do you have in mind? For example, are you referring to classical MD? Quantum? Coarser simluations of things like cells are suitable levels of details? Cheaper or better ab-initio algorithms? ADME predictions using LLMs? Something different?

	▲	armanckeser a day ago \| parent [-]
		Could be anything right? Scientific method in formulations of new drugs has a ton of steps and tests and repetition of stages and human labor, maybe we can create classical ml models that predict the likelihood of formulation paths now that we have more digital intelligence resources to throw at the problems or we go more generic and we simulate public health scenarios and response to information campaigns and test out different copies etc through population simulations of just using llms. Personalized 12 step assistants to cure addiction in persons.