Life Sciences
Data Analytics and Machine Learning for the Life Sciences Industry
Harness the power of big data and AI to accelerate R&D in the life sciences industry
Smarter Drug Development with Data Analytics and AI
Enable life sciences companies to leverage data analytics, machine learning and AIto improve therapeutics while reducing costs — powered by the Databricks Unified Data Analytics Platform.
Genomics and Drug Discovery
Accelerate drug discovery and improve retargeting efforts by processing and analyzing large cohorts of DNA sequence data along with other biomedical and imaging datasets.
Real-World Evidence
Build machine learning models on top of diverse sets of real-world data to improve trial design, disease identification, medication adherence and many other use cases.
Commercial Analytics
Increase marketing and sales effectiveness with highly targeted prescriber and patient programs using machine learning and predictive analytics.
Discovering New Treatments with Data Analytics and AI
Regeneron Accelerates Drug Discovery with Genomic Insights at Population Scale
Extracting Real-world Insights from Population-scale Clinical Data
Learn how Prognos built ML pipelines on 25 billion clinical lab records with Databricks, Apache Spark™ and AWS
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Predicting Disease Risk with Deep Learning on Medical Images at Scale
Learn how Human Longevity Inc, a leader in medical imaging and genomics, uses Databricks, Spark, and MLFlow to build a comprehensive imaging database of 14,000 de-identified individuals and power an agile environment for machine learning.
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Copay Anomaly Detection at McKesson using Azure Databricks
Watch this Spark + AI Summit talk to hear how McKesson’s Data and Analytics teams use Azure Databricks, Apache Spark and machine learning to analyze claims data and detect copay anomalies.
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Accelerate Genomic Discovery at Biobank-scale
Learn how Regeneron built one of the world’s largest genetics databases powered by Apache Spark™, Databricks and AWS along with a live demo of an ML model for genome-wide disease risk scoring.
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Automated Monitoring of Medical Device Data with Machine Learning
Learn how to build an end-to-end ML pipeline for streaming EKG data using Delta Lake, HorovodRunner and MLflow
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Real-World Evidence Analytics at Scale
Learn how to accelerate drug development and improve healthcare delivery with a unified approach to analyzing population-scale real-world data.
Download Now"The Databricks Unified Analytics Platform is enabling everyone in our integrated drug development process – from physician-scientists to computational biologists – to easily access, analyze, and extract insights from all of our data."Read the Case Study
Jeffrey Reid, PhD, Head of Genome Informatics, Regeneron
