151–160 of 199 posts
Earlier quoted context omitted.
Scientific research is suffering from a reproducibility crisis. Not a publication crisis. LLM's aren't going to solve reproducibility issues.
It seems to me that LLM's could massively improve reproducibility issues if journals would require that the papers be reproducible by model X using a standardized prompt in < N minutes, etc...
I watched the announcement and gave it a spin as I'm a heavy user of cowork/code. So far I'm super impressed. I used it to analyze my whole genome sequencing data I have as my son has a rare genetic condition. I used it to answer a question I'd asked a few bioinformaticians to help me with but never got a satisfactory answer, it solved it in about a minute - whether his n-of-1 de novo, heterozygous single nucleotide…
Not sure how to feel about this. I think its super cool that you can dive into this, but it sucks that its your son that has this condition for which you have to do this analysis. I hope it all turns out well. Quick question: where did you get your genome read and get the raw files? As far as I know, as service like 23andme does not give you back the raw files.
GeneDx aren't direct to consumer so you'd need to get it ordered through a physician but there are some DTC options for example, Dante Labs, Nebula Genomics, Sequencing.com but I can't speak to the quality of their testing.
23andMe doesn't do whole genome or whole exome sequencing. They use a microarray technology that tests for about 650,000 single nucleotide polymorphisms. You can actually download the your raw data on 23andMe and do your own analysis or use a tool like promethease.
I'm an MD so I'm quite comfortable exploring this data and whatever it uncovers. Tools like Claude Science are going to put a lot of power in the hands of every day people, potentially outside the guidance of genetic counseling/docs, which many organizations in the past (including the FDA) have been hesitant to allow.
I watched the announcement and gave it a spin as I'm a heavy user of cowork/code. So far I'm super impressed. I used it to analyze my whole genome sequencing data I have as my son has a rare genetic condition. I used it to answer a question I'd asked a few bioinformaticians to help me with but never got a satisfactory answer, it solved it in about a minute - whether his n-of-1 de novo, heterozygous single nucleotide…
You're not worried your whole genome is being sent over to some commercial entity?
Before LLMs the tech groups I followed were ripping with discussions about this and that topic, what to use and when; I believe these discussions sparked the creation of many frameworks and tools out of "this seems like a good idea, wouldn't hurt to implement it". Unfortunately it all resolves around LLMs nowadays and how to make some LLM work some way or another, we don't even discuss the very topics the groups were…
Well LLMs are largely useless and people are realizing that.
DeepMind has already has had real impact on science with the same foundational architecture as LLMs, for protein folding. They won a Nobel prize for it.
I basically did the same thing almost one and half years ago and not many people cared, but I still believe that this is the future for computational biology. https://celvox.co/solutions/axon
I basically did the same thing almost one and half years ago and not many people cared, but I still believe that this is the future for computational biology. https://celvox.co/solutions/axon
I basically did the same thing almost one and half years ago and not many people cared, but I still believe that this is the future for computational biology. https://celvox.co/solutions/axon
I basically did the same thing almost one and half years ago and not many people cared, but I still believe that this is the future for computational biology. https://celvox.co/solutions/axon
I basically did the same thing almost one and half years ago and not many people cared, but I still believe that this is the future for computational biology. https://celvox.co/solutions/axon