b-rayZ
Beatrice Fink is an experienced financial executive currently serving as CFO at b-rayZ since November 2022 and as a member of the Verwaltungsrat for Tumor- und Brustzentrum Ostschweiz AG. Previously, Beatrice held the CFO position at Energie 360° from September 2019 to July 2022 and served on the Verwaltungsrat for various organizations, including Energie 360° Pellets SA, Smart Energy Innovationfonds, and CAD-LP. Additionally, Beatrice was the president of the board at Protoscar and was part of the Verwaltungsrat at Kantonsspital Baselland. Prior experience includes leadership roles in finance, marketing, and IT at Pro Senectute and freelance project management at Lumina Health. Beatrice holds a Master's in Finance from London Business School and a Lic.oec. in Finance and Accounting from the University of St.Gallen, along with a CAS in Digital Innovation and Business Transformation from the same institution.
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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?