The Blue Box
Designed after a dog's olfactory system and olfactory neurons, The Blue Box is an AI-powered biomedical device aimed at in-home breast cancer testing in a non-invasive, non-irradiating, inexpensive, specific and user-friendly way... Just by introducing a urine sample in a BOX!
The Blue Box was created to elevate the need to provide better healthcare to every woman around the globe. By doing so, we aim at creating a change in the way we -as a society- fight breast cancer.
Judit Giró Benet.
I studied biomedical engineering at the University of Barcelona, where I once met a dog that smelled patients’ breath and barked if s/he had lung cancer...
- Identify (Determine & limit the disease risk pool & spill over risk), such as: Genomic data to predict emerging risk, Early warning through ecological, behavioural & other data, Intervention/Incentives to reduce risk for emergency & spill over
The American Cancer Society predicted that breast cancer would represent 30% of all cancers diagnosed in the US in 2021. However, research dedicated to it is not proportional to its incidence. Actually, the NIH recognised women as underrepresented in medical research.
This trend can be observed in the field of oncology, specifically considering current breast cancer screenings. Indeed, a study by the CDC stated that only 65% women attended it in the last 2 years, potentially resulting in 1/3 breast cancers being detected too late, and thus women having a worse prognosis and survival chance. Reasons for women skipping the mammogram-based screening are multiple: pain (41% of interviewees), difficulty of work absence and poor insurance coverage according to the Journal of Women’s Health.
Furthermore, according to the Catalan (Spain) Department of Health, only 6.45% of breast cancers diagnosed via mammogram are actually cancer. In other words, the sensitivity of the mammogram is dramatically low.
Finally, although its dose is not substantial enough to be considered harmful, biennially exposure to the mammogram increases breast cancer risk itself.
In conclusion, there exists a need for a non-invasive, inexpensive, sensitive and in-home breast cancer screening.
Due to its irradiating nature, mammogram-based screenings only target a narrow population segment (typically ages 45-65) – for the diagnosis power to outweigh its cancerous radiation dose. Nevertheless, The Blue Box is aimed at all women from all ages.
The proposed scenario is that of every family owning a Blue Box, which can be used by all its female members at their desired frequency and indefinitely. Every single user owns an account at The Blue App, which keeps track of her screening history throughout her whole life.
In turn, the Blue App gathers data from users worldwide, which is then used to release new software versions with enhanced prediction algorithms that get automatically installed to every Blue Box at every home.
As a conclusion, the presented breast cancer screening solution can be performed at home, with no need of medical knowledge. Additionally, because it is highly software-based, it is considerably inexpensive to manufacture, which translates into being accessible for an extremely wide population segment, regardless of its economical status and health insurance conditions. Examplewise, a Blue Box is worth $80 and can be reused indefinitely, whilst a mammogram and MRI cost $175 and $700 respectively per single use.
- Pilot: A project, initiative, venture, or organisation deploying its research, product, service, or business/policy model in at least one context or community
- Artificial Intelligence / Machine Learning
- Big Data
- Biotechnology / Bioengineering
- Internet of Things
- Software and Mobile Applications
Breast cancer is one of the top 4 most diagnosed cancers worldwide. However, research on its most effective prevention strategy is still non conclusive. Whilst most authors position the mammogram as the best current option for screening, its low specificity and irradiating characteristics evidence a need for a new gold standard.
Fhe vast majority of breast cancers diagnosed via mammogram are false positives, thus causing a great amount of anxiety to patients. Furthermore, the mammogram is poorly advised for women with fibrocystic breast. Shockingly, around 60% of women in today's world do have this condition.
As a conclusion, the proposed solution is designed to help women, a social group typically underrepresented in medical technology and research, live a full life without the fear and anxiety caused by the currently offered breast cancer screening programs.
We believe that medicine of the future will be able to detect most of breast cancer cases on time, causing most patients to be quickly and comfortably cured. That would help ease the current very common anxiety that women have when attending their breast cancer screenings, fearing a deadly late-stage diagnosis.
The US female population is of 165.92 million women, estimated to be placed in 119,730,128 households. There is an average of approximately 1 woman in each household that is eligible to undergo the routine breast cancer screening program. According to the CDC, only 63% of these women do actually attend it.
According to interviews that we have conducted to 40 women, over 80% of women with previous knowledge of The Blue Box declare themselves interested in a product like The Blue Box to ease their anxiety to be diagnose with breast cancer.
To our potential future impact, let us consider the hypothesis that about half of the women currently concerned about breast cancer (half of 63%) would know of and be interested in our device. This can be approximated to 31.5% of American households. This translates into 37,714,999 households that might be interested in the device, in the US alone.
Knowing that 1 every 8 women will have breast cancer at lease once along their life, we could state that if that scenario was true, we might help catch 4,714,374 cancers on time per generation.
In one year, it is expected for the project to be fully developed. We will hopefully have finished our human studies at three (or more) hospitals and collected 1,000 urine samples to train the device.
According to the proposed planning, in 5 years the proposed technology will have reached the US market at least and be accessible for the user.
Goal ONE - by 2021
To enhance our current (3rd generation) prototype:
Software-wise:
Training of our AI (cNN) algorithm. To do so, 3 hospitals have already agreed to supply urine samples.
Hardware-wise:
Printing of the electronics in a motherboard and assembly into a 3D-printed container for increased end-customer usability.
Goal TWO - by 2024
To complete the application for a world (global) non-provisional patent.
Goal THREE - by 2024
To start the application to the FDA (2022) and the European Regulatory Agency (2023). Considered a high-risk medical device due to provide oncological diagnosis.
To obtain an approval by 2024.
We currently count on a highly implicated team of mentors that provide feedback about our decisions and path.
On the one hand, I (Judit, CEO) am a Jr. Specialist at the University of California Irvine (UCI). My research work consists on the training of the AI algorithm that powers The Blue Box. My highly-experienced mentor, Professor Fadi Kurdahi, PhD and I have a weekly meeting to discuss my progress and to decides future steps.
Additionally, we are part of UCI's Wayfinder startup incubator. This program gives access to numerous mentors in almost all aspects of translating a medical device concept into a market-ready technology.
Finally, Billy and I (co-founders) meet every week to discuss our short-term and long-term goals.
As far as our technology is concerned, we have time-bonded and measurable goals. By 2022 we aim at obtain the same good results that we obtained in 2019 for metastatic (late-stage) breast cancer, but this time applied to early-stage breast cancer (more difficult for the sensors to detect chemically).
- Spain
- United States
- Germany
- Spain
- United States
Sociocultural barriers
When conducting market discovery interviews, it was noted that the average patient over 60 years of age tends to feel anxious when medical diagnoses are communicated via app - with absence of an in-person medical doctor. This trend was remarkably more acute in Asian nationalities than European and US cultures.
To shortcut this challenge we plan on using the younger inhabitants at every household as our "recommendors". Because one Blue Box can be used by all women in one same household, we count on member aged 30-50 to acquire it and encourage older members to do.
Additionally, we plan on publishing our results in a medical journey to generate public knowledge about our accuracy to generate the aforementioned "recommenders".
IP protection
In about one year time, it will be time to file our non-provisional patent. We are challenge to reunite the needed funding by then or otherwise we won't be able to patent as broadly as we would like to.
Financial barriers
The current state of the project as far as funding is concerned is pursuing seed funding. Having completed the proof of concept and developed a working prototype, year 2022 will be partially devoted to pitch investors.
- For-profit, including B-Corp or similar models
UCI, Center for Embedded Cyber-physical Systems. I (Judit) work as a Jr. Specialist.
UCI's Wayfinder, their startup incubator program.
Global Grad Show, a "startup accelerator in Abu-Dhabi
@BarcelonaTechCity, at Barcelona's Pier01
Will have a stand at @4YearsFromNow, the "startup version" of the Mobile World Congress.
MIT Trinity Challenge would be a great help in overcoming these main barriers:
Sociocultural barriers
A medical device that can provide a life-altering diagnosis might face a sensitive entrance into the market. It is therefore important that we focus not only on providing a high-quality and sensitivity technology but also on how to present it. It is for this reason that we hope that by being part of theMIT Trinity Challenge community we can connect to fellow entrepreneurs in the healthcare industry with insightful advice on this matter.
Patenting barriers
Global patent application is one of the main challenges for 2022-2023. Given the wide history of involvement of MIT in translational science, we would highly value it if we were to be chosen and hence have the contacts and the financial means to have access to patenting officers.
Financial barriers
Being awarded this prize would propel our research and allow us to afford a bigger round of the studies with human samples, this time with more subjects. In the event of human studies being successful, they would result in higher credibility to the project, which is a determinant factor when pitching for future investors.
The implication of hospitals that are world oncology leaders would cause a determinant turning point in out project. We have a few specific names in mind so far, but we are open to build new relationships and expand our professional network within the Trinity network. Below we provide a few of the names.
Memorial Sloan Kettering Cancer Center
Mayo Clinic, Rochester, Minnesota
Johns Hopkins Hospital, Baltimore
New York-Presbyterian Hospital-Columbia and Cornell, New York
UCLA Medical Center, Los Angeles
Massachusetts General Hospital, Boston
Cedars-Sinai Medical Center, Los Angeles
UCSF Medical Center, San Francisco
Stanford Health Care-Stanford Hospital, Stanford, California
Mount Sinai Hospital, New York
Hospitals of the University of Pennsylvania-Penn Presbyterian, Philadelphia

Biomedical engineer

Computer Scientist