b-rayZ
Philippe Pech is an accomplished sales and marketing leader with extensive experience across various industries, currently serving as the Head of Sales and Marketing at b-rayZ, focused on AI solutions for radiology since November 2022. Previously, Philippe held roles including Director of Digital Wellbeing Solutions at Virgin Pulse, where the emphasis was on employee health and wellbeing, and Independent Advanced Sales and Business Development Leader at FrontLine Business Gmbh, offering sales and development services across Europe. Philippe's background also includes significant positions such as Sales Director EMEA at Certino, VP Business Development EMEA at Graebel Companies, Business Partner at Line of Sight, Country Manager at RES Software, Territory Manager at Symantec, and Territory Manager at Siebel Systems. Philippe holds a Master’s degree in Sales and Industrial Strategy from the University of Paris I: Panthéon-Sorbonne and a Bachelor’s degree in Economy from Lycée des 7 mares.
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b-rayZ
b-rayZ is a spinoff of the University Hospital of Zurich. We develop AI software that supports the daily work of the radiologist in mammography with real-time assessment of image quality and breast density. We believe that AI can supplement visual inspection of radiologists in quality assurance and breasts density assessment. With us, you can focus on your clinical work and relay on better image quality. INNOVATION BY THE SIDE OF THE SPECIALIST Early detection of breast cancer by mammography is difficult in patients with a dense breast tissue and in poor quality images. Nowadays after each exam, radiologists rate mammographies in terms of breast density and diagnostic quality, which is costly, slow and doctor-dependent practice. The b-box, uses AI algorithms to emulate doctor decision and provides real-time feedback on breast density and image quality. OUR VISION b-rayZ is devoted to the development of AI solutions for radiology. Our products are developed by keeping in mind the needs of radiologists. • How can the radiologist provide higher quality examinations and reports with less efforts and lower costs? • How can the specialist take advantage of AI solutions without loosing the control on the medical procedures?