Infosys wins 2014 Simulating Reality contest for innovation in osteoporosis diagnosis
Published on May 13, 2014 at 2:31 PM
Infosys, a global leader in technology, consulting and outsourcing solutions, has been recognized as a winner in the 2014 Simulating Reality contest. The contest is organized by MSC Software, a worldwide leader of multidisciplinary simulation solutions. The winning team from Infosys used MSC's simulation technologies to better diagnose osteoporosis and accurately quantify fracture risk.
Osteoporosis, a disease characterized by a decrease in bone mass and density, leads to diminished bone strength and increased risk of fracture. Currently, medical practitioners estimate bone fracture risk for patients through qualitative methods including physical examination, CT scans, X-rays and measurement of bone mineral density (BMD), and physiological parameters such as gender, age, and weight. The innovative solution designed by Infosys applies the proven principles of mechanical engineering to understand the biomechanics of the human vertebrae and reduce the scope of errors in estimating fracture risks.
- The Infosys team developed a solution using computer-assisted design and finite element analysis (FEA) tools to study mechanics of vertebrae taking into account various factors such as shape, density distribution of cortical and cancellous bone, and other material properties of bone tissue and porosity.
- The solution helps practitioners study bones in a detailed and non-invasive manner, and quantitatively analyze the fracture risk of vertebrae.
- Infosys is the only company to have won this award two years in a row. It is the only IT engineering services company in this year's list of winners.
- The award-winning solution was developed by Infosys Engineering Services team comprising of Dattatraya Parle, Principal Consultant - Advanced Engineering Group, and Anirudha Ambulgekar, Engineering Analyst, in collaboration with medical experts.
- In 2013, Infosys won the Simulating Reality contest for its 3D model of the human heart that that helps medical professionals and scientists improve their understanding of the complexities of human heart disorders.