How wearable health tech could help catch breast cancer

The article discusses how wearable health technology, combined with artificial intelligence (AI), could help in the early detection of breast cancer. Professor Cynthia Rudin from the Massachusetts Institute of Technology (MIT) is developing a device that aims to utilize data from wearables to identify potential signs of breast cancer. The article explains that the data collected from wearable devices, such as heart rate and activity levels, can be analyzed by AI algorithms to detect patterns that may indicate the presence of breast cancer. This could lead to earlier diagnosis, which is crucial for improving survival rates. The professor's work focuses on creating a device that can gather and analyze the relevant health data, potentially enabling earlier intervention and treatment. The article highlights the potential of this approach to complement traditional breast cancer screening methods, such as mammograms, and provide a more comprehensive approach to early detection.