Dr. Qingsong Zhu Unlocking the potential of deep learning for age-related disease markers at Ending Age Related Diseases 2019.

Qingsong Zhu to End Age-Related Diseases in 2019
Dr. Qingsong Zhu discussed how deep learning can be used to create biomarkers that will help in the detection of aging. He began by discussing the limitations of animal translation and existing clocks. Then he discussed what types of markers were ideal for age-related studies and how to train and test a model using these markers.

His model also showed that smoking can accelerate aging.

Source:
https://www.leafscience.org/qingsong-zhu-at-ending-age-related-diseases-2019/

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