A modular framework that turns public RNA-sequencing data into usable findings, published in The Journal of Molecular Diagnostics and tested on three very different disease questions.

Large language models from OpenAI and Anthropic are accelerating how teams summarize literature, draft protocols, and brainstorm product ideas. They are truly helpful for many aspects of healthcare work. However, they are not, on their [read more...]

As GenAI captures a growing share of attention in healthcare, much of the conversation centers on models that create content rather than tools that quietly improve decisions at the point of care. Our new [read more...]

Autoimmune diseases affect every organ system and tens of millions of Americans, with more than 140 conditions identified and a disproportionate impact on women. The National Institutes of Health has released its first agency-wide roadmap for [read more...]

Artificial intelligence is transforming how we diagnose diseases, monitor patients, and expedite drug and diagnostic development. As innovation accelerates, the language surrounding these technologies is becoming increasingly technical and difficult to follow. At Decode [read more...]

Nashville’s transformation over the past two decades is nothing short of remarkable. While traditionally known as “Music City,” Nashville has now earned another moniker: the Healthcare Capital. From bustling research labs to cutting-edge biotech [read more...]

The integration of Artificial Intelligence (AI) into healthcare is transforming diagnosis, treatment planning, medical imaging, and personalized medicine. However, the rapid integration of AI in healthcare brings both potential benefits and significant risks, such as bias, inequity, and safety concerns. To address these challenges, the Coalition for Health AI (CHAI) created a comprehensive Assurance Standards Guide. Published in June 2024, these standards were developed by leading experts in AI, healthcare, and ethics to ensure AI technologies are reliable, safe, and equitable.

Imagine a world where predicting disease, tailoring treatments, and improving patient outcomes are no longer aspirational goals but everyday realities. The field of genomics holds this potential and is modernizing medicine in ways we could only dream of a decade ago. Public access to genomics data is transforming fields like artificial intelligence (AI), biotechnology, and drug discovery. Decode Health is leveraging publicly available resources to mine a wide range of multiomics and clinical data sources efficiently, developing a best-in-class approach to discover new solutions for detecting, monitoring, and treating diseases more effectively.

This article is written in response to "AI in Pharma: The Growing Number of Pharmaceutical Use Cases" by Nick Wichert of High Alpha Innovation

Summary: Decode Health has built a mature AI/ML platform to accelerate clinical decision-making and population health analytics solutions. Check out the article below to learn more about recent collaborative efforts with a global pharmaceutical company and leading technology firm to better detect disease and identify patients at risk of high-cost events using predictive approaches in oncology and autoimmune disease.