Leveraging AI/ML to Extract Real-World Insights from Population-scale Clinical Lab Data
Leveraging AI/ML to Extract Real-World Insights from Population-scale Clinical Lab Data
What you'll learn
With access to more than 25 billion records, Prognos manages the largest collection of clinical lab test records in the United States. Despite the volume of this data, they are able to gain real-world insights to better understand the journeys and risk profiles of patients. To translate the data into improved clinical practice and therapeutic development, Prognos built a set of automated data pipelines and over 12,000 custom machine learning algorithms on the Databricks Unified Data Analytics Platform on Amazon Web Services (AWS).
Attend this webinar to see:
- How to streamline data pipelines, while maintaining flexibility and control over workflows as needed
- The sophisicated way Prognos refines, standardizes and enriches clinical lab data
- How they clinically interpret medical lab data configured with 6,325 rules
- A unified data and analytics platform that facilitates collaboration, removes the overhead of dev ops tasks and enables deployment
Frank Austin Nothaft, PhD
Technical Director of Healthcare and Life Sciences
Databricks
Bio info: Frank Austin Nothaft is a Genomics Data Engineer at Databricks and a PhD candidate in Computer Science at UC...
Frank Austin Nothaft is a Genomics Data Engineer at Databricks and a PhD candidate in Computer Science at UC Berkeley. Frank is one of the core developers on the ADAM/Big Data Genomics project, pioneering methods for processing large genomics datasets using Apache Spark. Frank holds a Masters of Science in Computer Science from UC Berkeley, and a Bachelors of Science with Honors in Electrical Engineering from Stanford University. Prior to joining UC Berkeley, Frank worked at Broadcom Corporation on design automation techniques for industrial scale wireless communication chips.
Adam Petranovich
Chief Data Scientist
Prognos
Bio info: Adam leads efforts on end to end development of AI/ML pipelines at Prognos. He has broad experience in data science...
Adam leads efforts on end to end development of AI/ML pipelines at Prognos. He has broad experience in data science working on document classification, recommendation engines, reinforcement learning, control theory, forecasting and anomaly detection. Prior to joining Prognos, Adam was Founder and CTO of Centairo, an AI/NLP startup focusing on improving cross platform document retrieval and search. He also spent time working in adtech at AppNexus developing real time bidding algorithms at scale serving millions of ads in seconds. He holds degrees in applied econometrics and finance. Outside of his love for algorithm development, Adam enjoys fostering rescue dogs and yoga.
Details
Event Type : On Demand
Date : Oct 30, 2019 02:00 PM CT
Cost : Complimentary
Credits : CPHIMS, CAHIMS
Speaker(s) : Frank Austin Nothaft, PhD, Adam Petranovich
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