Stanford researchers applied new deep learning method to predict toxicity and side effects of drugs, potentially enabling faster drug discovery

Briefing

Stanford researchers applied new deep learning method to predict toxicity and side effects of drugs, potentially enabling faster drug discovery

April 19, 2017

Briefing
  • Drug Discovery Tool – Stanford University researchers taught algorithm to predict potential drug compound properties, such as toxicity and side effects
  • One-Shot Learning – Applied new kind of deep learning, called one-shot learning, which uses few data points instead of large volume of data typical to deep learning programs, making connections between atoms and molecules easier to process
  • Algorithm Data Training – Trained algorithm on two data sets, including data on chemicals toxicity and medicine side effects
  • Shorter Drug Screening – Can shorten and improve drug screening process

Accelerator
Artificial Intelligence, Biotechnology and Bioinformatics

Sector
Healthcare/Health Sciences, Information Technology

Organization
Stanford University

Source

Original Publication Date
April 3, 2017

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