Deep Learning to Accelerate Drug Development: An NYC Symposium
Tuesday, November 13, 2018
The New York Academy of Sciences, 7 World Trade Center, 250 Greenwich St Fl 40, New York
The New York Academy of Sciences
Technological advances in artificial intelligence, especially in the field of deep learning, hold the potential to transform modern drug discovery and development. In recent years, the accumulation of multi-faceted big data in medicine offers exciting new opportunities to apply state-of-the-art deep learning advances to pressing global health challenges. However, significant ground-work in applying this research is still critically needed before real breakthroughs can happen.
In this symposium, we will bring together the best minds from the biopharmaceutical industry and academic deep learning communities to create focused dialogues and research collaborations in New York City. The meeting will feature exciting new opportunities on topics including mobile health and sensors, medical and pathology imaging, genomics, computer vision and robotics for lab automation, and electronic health records (EHRs), and beyond.
Call for Abstracts
Abstract submissions are invited for a poster session. For complete submission instructions, please visit our online portal. The deadline for abstract submission is Friday, September 14, 2018.
Students and postdocs whose abstracts are accepted for poster presentation will receive complimentary meeting registration.
Scientific Organizing Committee