Medicrea Launches UNiD™ HUB Proprietary Surgical Planning Through Machine Learning at NASS 2017

The Medicrea Group (Euronext Growth Paris: FR0004178572 - ALMED), pioneering the convergence of healthcare IT and next-generation, outcome-centered device design and manufacturing with UNiD™ ASI technology, announced today that the Company will launch their UNiD™ HUB software at the 32nd Annual Meeting of the North American Spine Society (NASS), held October 25-28, 2017 in Orlando, Florida, with UNiD™ LAB biomedical engineers on-hand to demonstrate the software’s proprietary data-driven surgical planning and workflow functionalities.

Denys Sournac, President and Chief Executive Officer, stated. "We are pleased to launch our UNiD™ HUB to the U.S. spine surgeon community at NASS 2017. In developing an industry-first software platform that fully integrates FDA-cleared adaptive and intelligent surgical planning through machine learning, we are uniquely able to harness the power of our exclusive and growing data set linked to the more than 1,800 UNiD™ ASI surgeries performed to date to drive improved outcomes and efficiencies in spine surgery, as confirmed by our recently released clinical results.”

The user-friendly UNiD™ HUB, a web-based portal, also available as a mobile and tablet application, will manage the complete surgeon workflow for the Company’s UNiD™ ASI (Adaptive Spine Intelligence) technology and will become the surgeon’s primary touchpoint for collaboration with Medicrea’s UNiD™ LAB biomedical engineers to develop predictive, data-driven case plan strategies and to materialize personalized UNiD™ TEK, patient-specific implants, before surgery.

Surgeons will be able to instantly view metrics on their upcoming and previous UNiD™ ASI cases through the software’s dashboard upon login, with notifications alerting them of plan completion, pending actions, and tracking for personalized implant delivery. They are also able to manage their full case database from within the UNiD™ HUB directly with specialized search, organization and favoriting functionalities as well as perform powerful data visualizations and analytical reporting based on their selections.

Medicrea will showcase the UNiD™ HUB software alongside its UNiD™ ASI systems technology in Medicrea Booth #513 at the NASS Annual Meeting. The technology will also be presented by Dr. Paul McAfee, of the University of Maryland St. Joseph Medical Center, at the NASS Solution Showcase Theater on the Exhibit Hall Floor from 12:00 to 12:30pm on Thursday, October 26.

On the evening of Thursday, October 26, Dr. Paul McAfee will be joined by Dr. Christopher Kleck, of University Colorado Hospital, and Thomas Mosnier, PhD, Chief Scientific Officer at Medicrea, to host an interactive forum on Adaptive Spine Intelligence and its Influence on Spinal Treatment Options at the Hyatt Regency Orlando. To meet with Medicrea at NASS 2017 or express your interest in attending the interactive forum, please contact Gordon Fu, gfu@medicrea.com.

About Medicrea (www.Medicrea.com)

Through the lens of predictive medicine, Medicrea leads the design, integrated manufacture, and distribution of 30+ FDA approved spinal implant technologies that have been utilized in over 150,000 spinal surgeries to date. By leveraging its proprietary software analysis tools with big data and machine learning technologies and supported by an expansive collection of clinical and scientific data, Medicrea is well-placed to streamline the efficiency of spinal care, reduce procedural complications and limit time spent in the operating room.

Operating in a $10 billion marketplace, Medicrea is a Small and Medium sized Enterprise (SME) with 175 employees worldwide, which includes 50 who are based in the U.S. The Company has an ultra-modern manufacturing facility in Lyon, France housing the development and production of 3D-printed titanium patient-specific implants.

For further information, please visit: Medicrea.com.

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Medicrea is listed on
EURONEXT Growth Paris
ISIN: FR 0004178572
Ticker: ALMED
LEI: 969500BR1CPTYMTJBA37

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