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 Databricks account. Cancer is the leading cause of death and disease in the U.S., and the numbers are staggering with nearly 2 million new cases of cancer expected to be diagnosed in...
Implementing More Effective FAIR Scientific Data Management With a Lakehouse
Data powers scientific discovery and innovation. But data is only as good as its data management strategy, the key factor in ensuring data quality, accessibility, and reproducibility of results – all requirements of reliable scientific evidence. As large datasets have become more and more important and accessible to scientists across disciplines, the problems of big...
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 Data Officer, of Forest Rim for their contributions. The amount of healthcare data generated today is unprecedented and rapidly expanding with the growth in digital patient care. Yet much of the data...
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 looking at petabytes of patient data that contains valuable insights. Unlocking these insights can help streamline clinical operations, accelerate drug R&D and improve patient health outcomes. But first, the data needs to...
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, we aim to use data and AI to come up with the best treatment for a disease. While precision medicine has improved outcomes for patients diagnosed with rare diseases and cancers, precision...
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 of medical data. The rise of electronic health records (EHR), digital medical imagery, and wearables are contributing to this data explosion. For example, an EHR system at a large provider can catalogue...
Automating Digital Pathology Image Analysis with Machine Learning on Databricks
Check out our solution accelerator notebooks for automating digital pathology analysis or watch our on-demand webinar to learn more. With technological advancements in imaging and the availability of new efficient computational tools, digital pathology has taken center stage in both research and diagnostic settings. Whole Slide Imaging (WSI) has been at the center of this...
