Imagine algorithms that could design new drugs or map out future measles outbreak hot spots.
The past decade was about the rise of digital health technology and patient empowerment. The next decade will be about artificial intelligence, the use of health sensors and the so-called Internet of Healthy Things and how it could improve millions of lives.
Developments in artificial intelligence will dominate the next decade. Machine learning is a method for creating artificial narrow intelligence -- narrow refers to doing one task extremely well — and a field of computer science that enables computers to learn without being explicitly programmed, building on top of computational statistics and data mining. The field has different types: it could be supervised, unsupervised, semi-supervised or reinforcement learning, among others.
In global health, for example, an algorithm can provide a reliable map of future measles outbreak hot spots. It uses statistics on measles vaccination rates and disease outbreaks from the Centers for Disease Control and Prevention, as well as non-traditional health data, including social media and a huge range of medical records.
Moreover, with developments in 3-D printing as well as circuit-printing technologies, flexible electronics and materials, applying so-called digital tattoos or electronic tattoos on the skin for some days or even weeks became possible.
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