Mary Beth Schmidt, Ph.D., a graduate of Rensselaer Polytechnic Institute (RPI), has joined Advanced Mechanical Technology, Inc. (AMTI) as Chief Technology Officer, effective April 4, 2016. According to the April 15, 2016 news release, Dr. Schmidt has 23 years of research and development experience in the medical device industry, with a focus in orthopedics and biomaterials. Most recently, Mary Beth successfully ran Schmidt Biomedical, LLC, a medical device consulting business for over 12 years, serving clients ranging from Fortune 500 companies to small start-up enterprises. Prior to this, she spent more than 10 years within different business units at Johnson & Johnson, with technical and leadership responsibilities that included developing reduced wear polyethylene for total joint replacement components and evaluating alternative low wear bearing technologies using joint simulator testing. Working in the AMTI wear testing laboratory as a contractor, she regularly performed wear tests for emerging medical device companies. In addition, she provided hands-on training for simulator customers and valuable user feedback to AMTI.
Mary Beth Schmidt: New Technology Officer at AMTI
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Mary Beth received her Ph.D. and M.S. degrees in biomedical engineering from RPI and a B.S. degree in mechanical engineering from Lehigh University. Following graduate school, she managed a research laboratory at Columbia University studying mechano-chemical changes in articular cartilage due to osteoarthritis. Dr. Schmidt is also a co-inventor on 5 U.S. patents.
Dr. Schmidt told OTW, “I will be initially focusing on expanding the scientific testing applications for the equipment currently manufactured by AMTI and exploring new areas with unmet biomechanical testing and evaluation needs.”
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This is a fascinating development. In my practice we've seen similar outcomes with the revised protocol. The key differentiator seems to be patient selection criteria. Has anyone else noticed the correlation with BMI thresholds?
Great point. I'd push back slightly on the conclusion, the sample size in the cited study is too small to draw population-level inferences. That said, the directional signal is compelling and worth a larger RCT.
We implemented a similar approach last year. Early results are promising but we're still gathering 12-month follow-up data. Happy to share our protocol if anyone is interested.
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