01THE PROBLEM

BREAST CANCER SELF-TESTING DEVICE

1/6

women

will have breast cancer at least once along their life

41%

of women who skip the mammogram screening

do so because of

PAIN

97%

of mammogram diagnosis 

are FALSE POSITIVES, leading to patient

ANXIETY

SENSITIVITY

95%

SPECIFICITY

85%

CLASSIFICATION RATE

80%

FALSE NEGATIVES

5%

May 2020

Participant startup at the

"The Cove's i-Corps" Program

Customer discovery and market segmenta-tion program by UCI Beall Applied Innovation

University of California Irvine, CA (USA)

April 2020 - currently

Participant startup at the

"Organic Growth" Program

Early-stage equity-free startup advising program, offered by UCI Beall Applied Innovation

University of California Irvine, CA (USA)

Sept. 2019 - June 2020

Capstone project of the Master of Embedded cyber-physical systems

"Development of an embedded device for in-home, non-invasive and non-irradiating breast cancer screening"

The Blue Box 2nd prototype implemented a newly designed AI-based algorithm and reached a classification rate of >95%.

University of California Irvine, CA (USA)

Nov. 2017 - July 2018

Biomedical engineering Bachelor Thesis

"Study of the viability of a low-cost, non-invasive, breast cancer screening device"

The Blue Box 1st prototype was tested on 90 subjects and showed a sensitivity of 75%

University of Barcelona, Catalonia (Spain)