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Interesting, so the AI will filter out irrelevant information that the doctor can then focus on. I think from a social perspective that might be hard, because t

Interesting, so the AI will filter out irrelevant information that the doctor can then focus on. I think from a social perspective that might be hard, because the patient/doctor has to be freely comfortable with the idea that the doctor was not an expert in that sub-area before, and had to recently learn/come up to speed to be able to help. To me it seems like doctors don't want to freely admit that they don't know something (that they can figure out), and patients don't want to think that is the case. Slightly related but there's a website somewhere that you can upload your DNA sequence (in a .txt file!) to and it shows you relevant scientific literature. About 50% of those articles for me told me that I was probably going to develop male pattern baldness in my thirties/forties.

avgDev 5y ago
I technically use my own 'algorithm' before taking any new medications. It isn't sophisticated at all. However, I'm surprised the medical community is completely ignoring the fact that some medications have support groups. While that doesn't mean a drug might be unsafe, it definitely can point towards some adverse affect that was missed in the studies. If you try to find any groups for penicillin, you will nearly find nothing....now look at accutane. Basically, pharmaceutical marketing is causing doctors to be really misinformed and a lot of doctors lack knowledge about updates from the FDA on certain drugs. They often prescribe medication which are more dangerous than others. I am thinking about creating my own little tool to research drugs before taking them.
- disabled 5y ago
  May want to check out this: http://snap.stanford.edu/decagon/ http://snap.stanford.edu/decagon/
  - disabled 5y ago
    The repo utilizes SIDER which is a drug side effect repo: http://sideeffects.embl.de/ http://sideeffects.embl.de/ It also utilizes DrugBank: https://DrugBank.com https://DrugBank.com
nradov 5y ago
So far personalized medicine based on DNA sequencing has been mostly a bust. In most cases the data isn't really actionable. It might tell you that you have an elevated risk for certain conditions but in most cases the absolute risk is still low. Or there's not much you can practically do to lower the risk. There are a few exceptions like BRCA where the risk from certain genotypes is high enough to justify aggressive preventative care.

avgDev 5y ago

I technically use my own 'algorithm' before taking any new medications. It isn't sophisticated at all. However, I'm surprised the medical community is completely ignoring the fact that some medications have support groups. While that doesn't mean a drug might be unsafe, it definitely can point towards some adverse affect that was missed in the studies. If you try to find any groups for penicillin, you will nearly find nothing....now look at accutane. Basically, pharmaceutical marketing is causing doctors to be really misinformed and a lot of doctors lack knowledge about updates from the FDA on certain drugs. They often prescribe medication which are more dangerous than others. I am thinking about creating my own little tool to research drugs before taking them.

disabled 5y ago
May want to check out this: http://snap.stanford.edu/decagon/ http://snap.stanford.edu/decagon/
- disabled 5y ago
  The repo utilizes SIDER which is a drug side effect repo: http://sideeffects.embl.de/ http://sideeffects.embl.de/ It also utilizes DrugBank: https://DrugBank.com https://DrugBank.com

nradov 5y ago

So far personalized medicine based on DNA sequencing has been mostly a bust. In most cases the data isn't really actionable. It might tell you that you have an elevated risk for certain conditions but in most cases the absolute risk is still low. Or there's not much you can practically do to lower the risk. There are a few exceptions like BRCA where the risk from certain genotypes is high enough to justify aggressive preventative care.