I've been using Clairoe for a week now & its very accurate in predicting when I'm going to have my melatonin rhythms disrupted or shifted. There's definitely some individualization required since I have DSPD so I'll have to test it out for a while longer, but that's just part of the process in personalized medicine.
Obviously you don't think the bottleneck will come from computational power or the accuracy of the mathematical models you use, but is it possible that wearable tech becomes the bottleneck? It seems that there are inherent limitations in Oura rings/ Apple Watches & sleep tracking right now
Thank you for sharing!! The gap between estimating circadian phase and modeling biological mechanisms at a cellular level is immense. Do you attempting to build a digital twin (e.g. via biological foundation models) holds any water when we struggle to even model the simplest unit of life (the cell) due to a dearth of relevant data? What do you think the most pragmatic approach to integrating circadian bio in target selection and clinical trial design is when our understanding of the MoA many drugs is shaky at best?
I've been using Clairoe for a week now & its very accurate in predicting when I'm going to have my melatonin rhythms disrupted or shifted. There's definitely some individualization required since I have DSPD so I'll have to test it out for a while longer, but that's just part of the process in personalized medicine.
Obviously you don't think the bottleneck will come from computational power or the accuracy of the mathematical models you use, but is it possible that wearable tech becomes the bottleneck? It seems that there are inherent limitations in Oura rings/ Apple Watches & sleep tracking right now
so cool. we all need your digital twin tech. personalized medicine has been holy grail and we are so far away from that possibility!
But will a digital twin help people sleep better?
this will be my next post!
looking forward to reading it!
Thank you for sharing!! The gap between estimating circadian phase and modeling biological mechanisms at a cellular level is immense. Do you attempting to build a digital twin (e.g. via biological foundation models) holds any water when we struggle to even model the simplest unit of life (the cell) due to a dearth of relevant data? What do you think the most pragmatic approach to integrating circadian bio in target selection and clinical trial design is when our understanding of the MoA many drugs is shaky at best?