A smartphone app is being developed by a team of scientists in order to detect anemia in a straightforward manner that does so in a simple, noninvasive manner. The app works by having users snap a photo of their eyelid to let the advanced algorithms work their magic to detect for the blood disorder without the need to actually take any physical samples. The platform was created by a research team at Purdue University and was headed by Associate Professor Young Kim.
Kim explained how the app could detect anemia saying, "This technology won’t replace a conventional blood test, but it gives a comparable hemoglobin count right away and is noninvasive and real-time. Depending on the hospital setting, it can take a few hours to get results from a blood test. Some situations also may require multiple blood tests, which lead to more blood loss."
Blood Disorder-Detecting Apps
This New Software Can Detect Anemia from an Eyelid Picture
Trend Themes
1. Anemia-detecting Apps - This trend capitalizes on the advancement of smartphone technology to provide noninvasive and real-time detection of anemia through simple eyelid photos.
2. Noninvasive Healthcare Technologies - This trend explores the development of technologies that can replace conventional tests by offering noninvasive and immediate results, improving patient experience and reducing blood loss.
3. Algorithm-based Medical Diagnostics - This trend highlights the use of advanced algorithms in medical diagnostics, allowing for quick and accurate detection of blood disorders without physical samples.
Industry Implications
1. Healthcare Technology - This industry can leverage smartphone apps and advanced algorithms to develop innovative solutions for diagnosing and monitoring various health conditions in a noninvasive way.
2. Medical Device Manufacturing - This industry can explore the production of smartphone-based devices or attachments that enable noninvasive blood disorder detection, providing efficient and convenient solutions to healthcare professionals and patients.
3. Biomedical Research - This industry can focus on advancing algorithm-based diagnostics for various medical conditions, revolutionizing the way healthcare professionals diagnose and treat patients.