23°N is a project dedicated to develop accessible breast diagnostics for global health. We have combined the latest point-of-care ultrasound (POCUS) technology with a diagnostic decision support algorithm using AI. With a smartphone, a POCUS probe, and our integrated AI, we aim to provide a tool that could enable a timely diagnosis of breast cancer in low- and middle-income countries.
Breast cancer is the most common type of cancer in the world. Two million women were diagnosed with breast cancer in 2020, and the incidence is increasing.. Furthermore, the mortality rate is expected to increase from 685,000 to 1.5 million in 20 years.
There is a considerable inequality for breast cancer patients in low-income countries compared to high-income countries. More women die from their breast cancer in low-income countries and many of these women have an advanced cancer by the time they get their diagnosis.
In 2021, WHO launched ”The Global Breast Cancer Initiative”, with the aim to reduce breast cancer mortality by 2.5% per year until 2040. If successful, 2.5 million expected breast-cancer deaths could be avoided. In order to achieve this goal, WHO has acknowledged three important pillars of action. One of them being the need for a timely breast cancer diagnosis.
Early detection using mammography is not possible in many developing countries due to the limited resources regarding infrastructure and trained personel. That is when 23oN comes in.
23°N or "The tropic of cancer" is the northernmost latitude where the sun can be in zenith, 23.4° north of the equator. The tropic of cancer is situated where many of our target countries are.
Postdoctoral Researcher in Medical Image Analysis
Breast Radiologist and Clinical Researcher
PhD Student in Medical Image Analysis
Biomedical Engineer and B.Sc Student in Business Economy
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