New paper from undergrad in my lab on image-based genetic association of scoliosis (i.e. spine curvature) is now out in Npj Digital Medicine. Showing again the power of precision phenotyping with imaging to identify gene targets not possible in the EHR. https://t.co/otJr3jtSOH
New paper on our group applying deep learning to measure spine curvature in thousands of individuals to identify new genetic loci associated with susceptibility. Led by star undergrad Michael Zeosky who is applying to PhD programs this fall!
https://t.co/voByiJ5Omh
Scoliosis is the most common spinal deformity, but its genetic causes are still unclear. Using AI to measure spinal curves in 57,887 people, we discovered 2 novel genetic risk loci - showing how deep learning can unlock insights into musculoskeletal health https://t.co/sTlTTm5cxx