Artificial intelligence (AI) algorithms are mapping ten billion cells from the human body in an attempt to unlock the mysteries of the human body. The Register brought this very interesting news to our attention in their article, “Scientists use machine-learning algorithms to map out 10 billion cells from human bodies in fight against cancer.”
Dana Pe’er, the current chair and professor in computational and systems biology at the Memorial Sloan Kettering Cancer Center, a research lab focused on cancer treatment in New York, described machine learning as a toolbox for building the Human Cell Atlas. The project aims to turn data from billions of tissue sample cells into 3D maps so scientists can visualize our bodies down at the smallest units.
The problem with studying cells is the sheer amount of data they produce. This is where machine learning shines. At first glance these matrices don’t make much sense but they can be turned into 3D maps with the help of AI algorithms.
Melody K. Smith
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