In healthcare, mobile innovation represents an opportunity to save lives and improving the quality of care for countless patients. A new mobile solution promises significant changes to how physicians approach medical diagnosis, likely resulting in more timely diagnoses to give medical experts a better shot at catching disease early and administering treatment. Researchers at UCLA have developed a tool that leverages machine learning to power a smart mobile device designed for the healthcare world. More specifically, this piece of technology can detect proteins, viruses, cancer biomarkers and other microscopic bodily objects that have traditionally been difficult for researchers to find in patients, according to Phys.org. Researchers believe that, through machine learning, this smart solution can train its own algorithms to process biometric data and better understand biomarkers and other biological trends.