How can AI and Machine Learning optimize Clinical Trials

Artificial Intelligence and Machine Learning are revolutionizing industries such as Automobile (self-driving cars), Healthcare (robot assisted surgeries) and Finance (fraud detection). Ever wondered how Machine Learning really works and how will it affect the Clinical Trials Industry? Join us for the webinar to learn and explore

• What is Machine Learning and how does it work?
• How can Machine Learning be used to optimize or re-engineer various clinical trial processes including feasibility, study startup, patient recruitment & retention, risk monitoring and compliance.
• The regulatory challenges in deploying Machine Learning in controlled, validated processes and environments.
• How can you evaluate if Machine Learning works for your problem by doing quick low-cost proof-of-concepts.

Speakers:

Dr. Chintan Patel, PhD Chief Technology Officer, Applied Informatics Inc Chintan is the Co-founder and CTO of Applied Informatics with over 15 years of experience in building innovative data solutions in the life sciences industry. His areas of expertise include semantic technologies, biomedical ontologies, machine learning and natural language processing. Previously, he worked at IBM’s T.J. Watson Research, on ontology-reasoning and information extraction that then became the infamous Jeopardy winning AI software “Watson”. He holds a Ph.D. in Biomedical Informatics from Columbia University.

Shahid Qadri, Msc Senior Data Scientist, Applied Informatics Inc Shahid leads the data science and IoT teams at Applied Informatics. He has over 5 years experience building intelligent data driven applications in the Life Sciences industry. His bread and butter are big data and distributing computing. He holds a Bachelors degree in Computer Applications from University of Kashmir and a Masters in Information Technology from Central University of Kashmir. Shahid claims that mountains and gadgets fascinate him!

Webinar by Applied Informatics 

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