Advancing knowledge of human development, developmental disabilities, and neurodegenerative diseases.
Waisman Investigator Daifeng Wang, PhD, associate professor of biostatistics and medical informatics, was featured on this article by the School of Medicine and Public Health on how artificial intelligence (AI) is advancing medical research at UW.
Building a complete developmental trajectory of cells is close to impossible with today’s technology, but new technology developed at the Waisman Center is taking scientists a step closer to achieving it. Machine learning, a form of artificial intelligence, can step in to help fill in the gaps.
Our brain is big on team work makes the dream work. Not only brain cells, but even smaller units that make up a cell work in cooperation to make the brain work properly.
AI collects big data and uses computer algorithms to search patterns that are present in your daily life.
Like a game of Wheel of Fortune, where you have to fill in missing letters to guess the hidden phrase, analyzing data sometimes requires estimating missing data points by relying on available information in order to get the full picture of what’s being studied.
For something so small, neurons can be quite complex — not only because there are billions of them in a brain, but because their function can be influenced by many factors, like their shape and genetic makeup.
