Deep Learning Solutions
for Pathological Diagnosis
DeepBio provides AI solutions for unmet medical needs using deep learning technology. Our initial product in development features a convolutional neural network that detects and grades prostate cancer from needle biopsy images.
AI Research Professionals
Our diversified research team includes not only experts in deep learning, but also specialists from various backgrounds - including math, chemistry, photography, computer vision, and more.
The quality of data is the quality of deep neural network. In DeepBio, our dedicated data annotator produces robust data crucial to deep learning, which is then verified by our medical affiliates.
Qualified Medical Affiliates
Our research is supported upon strong affiliation with prestigious medical authorities. Direct assistance is provided in data acquisition, research advisory, and performance verification.
Sanghun majored in Mathematics at KAIST during his undergraduate course. His previous research regards analyzing EEG data with functional connectivity and source localization at Seoul national university hospital. He now has interests in predictive analysis and image analysis with deep learning.
Junwoo is a recent graduate from the School of Life Science at Handong Global University. He is interested in using machine learning and data analysis techniques to discover meaningful rules and patterns in biological and economic systems. Junwoo wants to better understand current systems and their problems to develop ethical, effective and sustainable solutions, in order to make the world a better place to live.
Jae Hyun has recently joined Deepbio and came from a wealth of experience working in banking and finance for 5 years. She has completed her degree in Commerce and Accounting at RMIT University in Melbourne, Australia. Jae Hyun is an expert in risk management and she is in charge of global business development to support and improve company’s growth.
Haejoon is a undergraduate student at Emory University who is majoring in Biophysics and minoring in Computer Informatics. While her previous experiences lie in biomedical research, she’s interested in learning about deep learning as well as the corporate field.