Application of an advanced data analytics platform to identify RNA biomarkers from publicly available data
DecodeHealth2025-01-08T14:21:36-06:00November 2024 Poster Presentation
November 2024 Poster Presentation
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.
As published by Vestigo, Issue 5, Winter 2023 Read the full Vestigo issue, here.
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 study aims to identify RNA biomarkers distinguishing neuromyelitis optica (NMO) from relapsing-remitting multiple sclerosis (RRMS) and explore potential therapeutic applications leveraging machine learning. Read the full publication at www.jmdjournal.org
This article is written in response to "AI in Pharma: The Growing Number of Pharmaceutical Use Cases" by Nick Wichert of High Alpha Innovation
2024 CMSC Conference Presentation
2024 CMSC Conference Presentation
2024 CMSC Conference Presentation