Publications by authors named "S A Svoboda"

Background: Shared genetic risk between Alzheimer's disease (AD) and concussion may help explain the association between concussion and elevated risk for dementia. However, there has been little investigation into whether AD risk genes also associate with concussion severity/recovery, and the limited findings are mixed. We used AD polygenic risk scores (PRS) and APOE genotypes to investigate associations between AD genetic risk and concussion severity/recovery in the NCAA-DoD Grand Alliance CARE Consortium (CARE) dataset.

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Background: As machine learning becomes increasingly utilized in orthopaedic clinical research, the application of machine learning methodology to cohort data from the Multicenter ACL Revision Study (MARS) presents a valuable opportunity to translate data into patient-specific insights.

Purpose: To apply novel machine learning methodology to MARS cohort data to determine a predictive model of revision anterior cruciate ligament reconstruction (rACLR) graft failure and features most predictive of failure.

Study Design: Cohort study; Level of evidence, 3.

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Background: Revision anterior cruciate ligament (ACL) reconstruction has been documented to have inferior outcomes compared with primary ACL reconstruction. The reasons why remain unknown.

Purpose: To determine whether surgical factors performed at the time of revision ACL reconstruction can influence a patient's outcome at 6-year follow-up.

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Article Synopsis
  • Scientists studied a type of crusty lichen called Ascomycota from a group named Pilocarpaceae to learn more about it.
  • They found two new kinds of these lichens using DNA analysis. One new kind, which they named Kantelinen & G. Thor, has a special shape and color.
  • The team also discovered that this lichen often reproduces in a different way than expected, especially when it grows on dead wood.
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