Point-Of-Care Solution AXIAL SITE SELECTION Rapid software-assisted radiation-free scan - 90" at the Lumbar Vertebrae, 40" seconds at the Femoral Neck to assess bone status at every stage of life or physical condition and make prevention, early diagnosis of osteoporosis and short-term monitoring. About Echolight BONE HEALTH THROUGHOUT LIFE Echolight S.p.A. is a high-tech biomed company, incorporated in Italy with offices in USA, for the development of innovative technologies in the medicai device arena. Our REMS technology is the result of more than ten years of research carried out in collaboration with National and International Institutions in the biomedical field. Our mission is to provide the world medicai communitywith the very first non-invasive and office-based solution for a fast and reliable bone health assessment and for the early diagnosis of Osteoporosis. Automatic identification of the target bone interfaces within the sequence of the acquired echographic images. DISCARDING OF ARTIFACTS The implemented algorithm automatically identifies regions of interest (ROI) by discarding noisy acquisitions and artifacts, reducing the dependence on the operator experience. The diagnosis is not influenced by the presence of osteoarthritis, scoliosis, calcifications, osteophytes or other pathologies. ECHOLIGHT Echolight S.p.a. Viale Cipro, 6 73700 Lecce I Italy • Axial Site Selection Echolight Medical Corp • Bone Target Visualization • Software-Assisted US Acquisition Automatic Detection of the bone interfaces e ROls Automatic Calculation 1800 West Loop S, STE 7600 Houston, TX 77027 I USA Scientific publications • Automatic Signal and Spectral Analysis • Diagnostic Output • Medical Report *Patient positioning independent

REMS * TECHNOLOGY Radiofrequency Echographic Multi Spectrometry Radiation-free Bone Health Assessment Bone micro-architecture characterization at the Lumbar Vertebrae and Proximal Femur through an echographic scan. BONE MINERAL DENSITY FRAGILITY SCORE R.E.M.S.® is an innovative, radiation-free approach to the dia-gnosis of Osteoporosis and to bone health assessment. It exploits all the spectral features of the native, unfiltered ''raw" (RF) signals acquired during an echographic scan to determine the status of internal bone architecture. The implemented algorithm automatically identifies the...