Fri, July 15, 2021, 09:00 – 10:00AM (PDT), 12:00 – 1:00PM (EST)
Humanized or Human-level AI thinks and behaves like humans, while Medical AI involves the applications of AI technology in drug development and healthcare to help improve health outcomes and patient experiences.
Discuss how to deal with the fundamental issues such as self-awareness, consciousness, emotion, creativity, and language-understanding, the principles that serve as the backbone of AI methods, and main approaches to humanized and medical AI.
Discuss why we need the small-data instead of big-data AI in precision medicine and how to use the similarity principle to develop machine-learning and apply it to clinical trials for precision medicine with an example.
Founder of AGInception, MA, USA (2019-Present)
Adjunct Professor of Boston University, Boston, USA (2011-present)
Over 25 Years research and hand-on experiences in clinical trials and data science
Fellow of American Statistical Association (2009)
Served on editorial boards for statistical journals and statistical communities
Research Interests and Publications include: Adaptive Clinical Trial Design, AI in Drug Development, Precision Medicine, and Healthcare, Modern Issues and Methods in Biostatistics, Principles of Scientific Methods, and Paradoxes in Scientific Inferences.