First machine-learning approach to forensic DNA analysis

As the field of forensics evolves, more complex evidence is being processed with greater precision, sensitivity and speed than ever before. To give a real-life example, consider a bank robbery where the perpetrator uses a pen, available to all customers, to write the note which they pass to the teller. In this instance the perpetrator deposited skin cells on this pen, but so did several other people. The result is a complex mixture of DNA from all of these individuals. Where 30 years ago a forensic scientist would probably have needed the bank robber to leave a few drops of blood on the pen to produce a DNA profile, today, they only need a few cells.

from News on Artificial Intelligence and Machine Learning https://ift.tt/3zO6lnE

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