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Extracting Oncology Insights From Real-World Clinical Data With NLP

Preview the solution accelerator notebooks referenced in this blog online or get started right away by downloading and importing the notebooks into your...

Implementing More Effective FAIR Scientific Data Management With a Lakehouse

September 7, 2021 by Greg Wood and Amir Kermany in
Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Improving Patient Insights With Textual ETL in the Lakehouse Paradigm

This is a collaborative post from Databricks and Forest Rim Technology . We thank Bill Inmon, Founder and CEO, and Mary Levins, Chief...

Unlocking the Power of Health Data With a Modern Data Lakehouse

A single patient produces approximately 80 megabytes of medical data every year. Multiply that across thousands of patients over their lifetime, and you're...

Detecting At-risk Patients with Real World Data

October 20, 2020 by Amir Kermany and Frank Austin Nothaft in
With the rise of low cost genome sequencing and AI-enabled medical imaging, there has been substantial interest in precision medicine. In precision medicine...

Building a Modern Clinical Health Data Lake with Delta Lake

The healthcare industry is one of the biggest producers of data. In fact, the average healthcare organization is sitting on nearly 9 petabytes...

Automating Digital Pathology Image Analysis with Machine Learning on Databricks

January 31, 2020 by Amir Kermany and Frank Austin Nothaft in
Check out our solution accelerator for automating digital pathology analysis or watch our on-demand webinar to learn more. With technological advancements in imaging...