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So far DecodeHealth has created 64 blog entries.
17 07, 2025

The Journal of Molecular Diagnostics: Development of an End-to-End Total RNA Sequencing Quality Control Framework for Blood-Based Biomarker Discovery

2025-07-17T13:51:48-05:00

Next-generation RNA sequencing (RNA-seq) enables comprehensive transcriptomic profiling for disease characterization, biomarker discovery, and precision medicine. Despite its potential, RNA-seq has not yet been widely adopted for clinical applications, and a key barrier to [read more...]

The Journal of Molecular Diagnostics: Development of an End-to-End Total RNA Sequencing Quality Control Framework for Blood-Based Biomarker Discovery2025-07-17T13:51:48-05:00
17 07, 2025

Cracking the Code: A Field Guide to AI and Healthcare Data Analytics

2025-07-17T14:36:22-05:00

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...]

Cracking the Code: A Field Guide to AI and Healthcare Data Analytics2025-07-17T14:36:22-05:00
7 08, 2024

Transforming Healthcare with Responsible AI: Insights from CHAI Standards

2024-08-07T11:59:23-05:00

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.

Transforming Healthcare with Responsible AI: Insights from CHAI Standards2024-08-07T11:59:23-05:00
8 07, 2024

The Power of Public Genomics Databases in Biomarker Discovery

2024-07-08T17:08:02-05:00

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.

The Power of Public Genomics Databases in Biomarker Discovery2024-07-08T17:08:02-05:00
7 06, 2024

The Journal of Molecular Diagnostics: Machine Learning Analysis Using RNA Sequencing to Distinguish Neuromyelitis Optica from Multiple Sclerosis and Identify Therapeutic Candidates

2024-06-12T15:23:31-05:00

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

The Journal of Molecular Diagnostics: Machine Learning Analysis Using RNA Sequencing to Distinguish Neuromyelitis Optica from Multiple Sclerosis and Identify Therapeutic Candidates2024-06-12T15:23:31-05:00
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