U.S. markets open in 8 hours 22 minutes
  • S&P Futures

    3,752.25
    -37.25 (-0.98%)
     
  • Dow Futures

    30,491.00
    -290.00 (-0.94%)
     
  • Nasdaq Futures

    11,405.50
    -124.00 (-1.08%)
     
  • Russell 2000 Futures

    1,685.30
    -22.70 (-1.33%)
     
  • Crude Oil

    105.43
    -0.33 (-0.31%)
     
  • Gold

    1,802.70
    -4.60 (-0.25%)
     
  • Silver

    20.00
    -0.36 (-1.75%)
     
  • EUR/USD

    1.0459
    -0.0024 (-0.23%)
     
  • 10-Yr Bond

    2.9720
    0.0000 (0.00%)
     
  • Vix

    28.71
    +0.55 (+1.95%)
     
  • GBP/USD

    1.2121
    -0.0054 (-0.44%)
     
  • USD/JPY

    134.8550
    -0.8730 (-0.64%)
     
  • BTC-USD

    19,432.74
    -600.13 (-3.00%)
     
  • CMC Crypto 200

    416.80
    -14.67 (-3.40%)
     
  • FTSE 100

    7,169.28
    -143.04 (-1.96%)
     
  • Nikkei 225

    25,925.24
    -467.80 (-1.77%)
     

RIT scientists develop biophysical model to help better diagnose and treat osteoarthritis

·2 min read

Scientists from Rochester Institute of Technology and Cornell University have teamed up to explore cartilage tissue's unique properties with the hopes of improving osteoarthritis diagnosis and treatment, and the team published a paper in Science Advances outlining their findings.

ROCHESTER, N.Y., June 21, 2022 /PRNewswire-PRWeb/ -- Scientists from Rochester Institute of Technology and Cornell University have teamed up to explore cartilage tissue's unique properties with the hopes of improving osteoarthritis diagnosis and treatment. The team published a paper in Science Advances outlining their findings.

Cartilage tissue in our knee and elbow joints is just a few millimeters thick but can bear loads up to 10 times the body's weight and withstand a few hundred thousand loading cycles with minimal damage over a person's lifespan. But the tissue does not regenerate once people reach adulthood, and damage to cartilage can be a precursor to diseases like osteoarthritis. RIT's biophysics modelers and Cornell's experimentalists examined what mechanically happens to cartilage tissue at the microscopic level in response to shear to help drive advances in medical imaging.

"The goal was to find a mechanistic biophysics framework that can make realistic predictions about what kind of changes are taking place in cartilage mechanics and function during various disease pathways," said Moumita Das, co-senior author of the paper and an associate professor in RIT's School of Physics and Astronomy. "This mathematical model is informed by experimental data, so we can combine it with noninvasive measurements like MRIs. With a map of properties for healthy and damaged cartilage tissue, doctors can make predictions about when surgical intervention is necessary just from imaging without having to do invasive procedures."

RIT Postdoctoral Research Associate Jonathan Michel served as co-lead author on the paper, and Pancy Lwin, a mathematical modeling Ph.D. student from Myanmar, also served as a co-author. Cornell's contributions were directed by Professor Professor Itai Cohen and Professor Lawrence Bonassar.

The paper builds on another recent study the RIT-Cornell team published in Soft Matter that looks at how cartilage's properties resist fracture and how we can tune artificial materials to mimic those properties.

"As far as manmade synthetic materials, nothing anyone has come up with to date can compare to cartilage," said Das. "If we can understand the origins of cartilage's robust and resilient properties, it can help us engineer tissues to replace cartilage or make other materials for applications such as soft robotics."

Das and her team's research was supported by a grant from the National Science Foundation. To learn more and read the full study, go to the Science Advances website.

Media Contact

Luke Auburn, RIT, 585-475-4335, lraits@rit.edu

SOURCE RIT