Egyptian healthtech startup DilenyTech has raised a USD160, 000 non-equity grant to expand its AI-powered platform, thereby fast-tracking early detection of breast cancer.
Breast cancer is recognized as the most common invasive cancer in women and the second leading cause of cancer death. According to one research, there are about 2.3 million cases yearly across the globe.
If detected early and with proper treatment, survival rates for breast cancer are quite very high. However, it is estimated that between 50% and 80% of breast cancer cases progress to an advanced stage before being diagnosed, especially in many low- and middle-income countries.
This reality is what DilenyTech seeks to address with its cutting edge tools that not only transform breast cancer screening but offer innovative AI assistance to facilitate accurate detection and accelerated reporting of breast cancer.
Launched in 2018, the startup has developed AI and state-of-the-art medical imaging solutions to improve medical imaging research and breast cancer risk evaluation.
Among its user-friendly, cost-effective tools and materials are the Breast Cancer Risk Assessment Calculator, awareness articles, and experts’ suggestions of breast consultants and radiology centers for medical examinations. DilenyTech also renders its services to renowned international healthtech companies across three continents.
According to Dr. Ahmed Ehab Mahmoud, Founder and Chief Innovator Officer of DilenyTech, thousands of healthcare experts anywhere in the world can access the online platform at any particular time. This will, to an extent, reduce patients’ sufferings owing to a long waiting period and/or inaccurate diagnosis as well as improve physicians’ efficiency.
With the recent grant capital from the Information Technology Academy Collaboration program, an affiliate of the Information Technology Industry Development Agency of Egypt (ITIDA), DilenyTech is on its way to scale up and grow its operations.
Interestingly, this comes a few months after the startup was awarded a US patent for a novel AI-enabled image analysis system.
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