Solutions for Life Sciences - Databricks

Life Sciences

Accelerate Biomedical Research and Commercialization

Harness the power of big data and AI to drive efficiencies across the entire drug development lifecycle from discovery through delivery.

Life Sciences
Life Sciences
Life Sciences
Life Sciences

Smarter Drug Development with Unified Analytics

Built by the original creators of Apache Spark™ the Databricks Unified Analytics Platform enables data processing and machine learning at massive scale — empowering life sciences organizations to improve therapeutics while reducing costs.

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.

INDUSTRY SOLUTION

Unified Analytics Platform for Genomics

Learn how the Unified Analytics Platform for Genomics powers interactive genomic data processing, analytics and AI at massive scale with a scalable DNASeq pipeline that is concordant with GATK4 at best-in-class speeds.

Webinar

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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Customer Talk

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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Webinar

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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Webinar

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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"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

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