This dataset accompanies the manuscript titled “A Human Pan-Disease Whole Blood Transcriptomics Atlas Reveals Systemic Signatures Across Diseases” Whole-blood transcriptomics (WBT) provides critical insights into systemic health and disease. In this study, we established a large-scale WBT Atlas comprising 4,444 samples across 98 distinct health conditions. Through integrative analyses, we identified disease-specific gene expression signatures and developed a multi-omics classification framework capable of distinguishing among these conditions based on their unique transcriptomic profiles. The dataset includes RNA-seq data from 4,444 samples used for atlas construction, along with 10 cohorts utilized for machine learning–based external validation.
This report presents eleven frozen prospective HR7/PFA assessments of emerging artificial intelligence systems across scientific, industrial, enterprise, and frontier research domains. The assessments cover AI-assisted drug discovery, autonomous robotics, enterprise cybersecurity…
Interactive Data Viewer: Read, View, and Print from Day 1 Use our fully interactive viewer to view, read, and print this research data right from Day 1: https://pathmap.org/viewer.php?id=84 Artificial General Intelligence LLC Claim Evaluated: SOD1 Research July 2026 This dataset…
Human activity recognition (HAR) using sensor data allows the automatic detection of human behavior and actions in everyday environments. The development of scalable and privacy-preserving HAR systems is supported by the nonintrusive collection of time-series data using wearable…
Dermatological disorders remain a significant global healthcare challenge, affecting millions of individuals and contributing to increased disease burden, particularly when delayed or inaccurate diagnosis affects treatment outcomes. Although artificial intelligence has demonstrat…
Analysis code, result tables, and figures for a time-of-flight secondary ion mass spectrometry (ToF-SIMS) machine-learning study of a mammary tumor-associated multi-ion signature and its detectability across biological samples in the MMTV-PyMT mouse model of breast cancer. Accomp…
Artificial intelligence (AI) in modern healthcare is one of the most transformational technologies available, giving unparalleled prospects to advance preventative medicine and treat chronic diseases. AI enhances healthcare systems’ ability to identify diseases earlier, predict h…