Getting started with generative AI in healthcare and life sciences
The explosive growth of ChatGPT has influenced every industry to reexamine their artificial intelligence (AI) strategies. While healthcare & life sciences has been...
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Patient Disease Risk Prediction with Lakehouse
All healthcare is personal. Individuals have different underlying genetic predispositions, environmental exposures, and past medical histories, not to mention different propensities to engage...
Databricks for GxP
What is GxP? GxP stands for "Good x Practices," where x refers to a specific discipline, such as clinical, manufacturing, or laboratory. The...
Building a Life Sciences Knowledge Graph with a Data Lake
This is a collaborative post from Databricks and wisecube.ai. We thank Vishnu Vettrivel, Founder, and Alex Thomas, Principal Data Scientist, for their contributions...
Project dbignite: Interoperability for Patient Analytics
Interoperability policies set by Centers for Medicaid & Medicare Services (CMS) in the United States started to go into effect in 2021, changing...
Detecting Undiagnosed Conditions and Automating Medicare Risk Adjustment
The Limitations of ICD-10 Coding Structured ICD-10 diagnosis codes exist primarily for submitting claims for reimbursement. A far more comprehensive portrayal of patient...
Building Patient Cohorts with NLP and Knowledge Graphs
Check out the solution accelerator to download the notebooks referred throughout this blog. Cohort building is an essential part of patient analytics. Defining...
Automating PHI Removal from Healthcare Data With Natural Language Processing
Minimum necessary standard and PHI in healthcare research Under the Health Insurance Portability and Accountability Act (HIPAA) , minimum necessary standard, HIPAA-covered entities...
Improving Drug Safety With Adverse Event Detection Using NLP
Don't miss our upcoming virtual workshop with John Snow Labs, Improve Drug Safety with NLP , to learn more about our joint NLP...
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
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
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
Check out our solution accelerator for automating digital pathology analysis or watch our on-demand webinar to learn more. With technological advancements in imaging...