Philip Nelson of Google’s Translational Research to Speak at Children’s Hospital Los Angeles on Machine Learning for Biomedical Research and Health Care

Published on 
October 2, 2020
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Google Accelerated Sciences is a translational research team that works to bring Google’s technology to the biomedical community. Philip Nelson, Director of Engineering at Google Accelerated Sciences, will meet with team members at Children’s Hospital Los Angeles on Wednesday, Oct. 7 to discuss examples of machine learning being used in biomedicine.

An application of artificial intelligence, machine learning uses massive data sets to look for patterns. Once a pattern is identified, the algorithm continues to apply and refine recognition of the pattern—essentially “learning” how to improve its ability to locate a specific pattern.

Most consumers interact with machine learning multiple times over a typical day. For example:

  • Netflix suggests new movies based on one’s viewing history
  • Facebook identifies friends in a photo post
  • A smart phone uses voice recognition to transcribe voice mails
  • Out-of-office responses are auto-generated by an email application

As beneficial as these applications are in daily life, Nelson and his team are employing this powerful technology to help solve what he calls “hard science problems”—like retinopathy, metastatic disease, bioinformatics, genomics and infectious diseases. During his presentation at CHLA, he will discuss ongoing collaborations in biomedical research and health care.

All staff are welcome to attend this virtual lecture. Please register here.

The Special Lecture on Research and Innovation, co-sponsored by The Saban Research Institute of Children’s Hospital Los Angeles and the CHLA Innovation Studio, aims to bring together innovators and researchers to identify common goals and unique partnerships that can emerge when two areas of inquiry come together.