Search Results - chukwuka+didigu

3 Results Sort By:
Graph-based AI detects and locates power grid anomalies in real time using PMU data.
This technology introduces a graph learning-based framework for detecting and localizing anomalies in power systems using distributed PMU data. The core innovation lies in modeling the grid as a dynamic spatiotemporal graph, where each node represents a bus (or measurement point), and edges represent relationships between voltage measurements across...
Published: 4/23/2026   |   Updated: 4/22/2026   |   Inventor(s): Olabode Amusan, Di Wu
Keywords(s): Electronics & Sensors, Software & Algorithms
Category(s): Technologies, Technologies > Electronics & Sensors, Technologies > Software & Algorithms
Influence Graph-Based Method for Sustainable Energy Systems
This technology introduces a novel influence graph-based vulnerability assessment framework for Integrated Power and Gas Systems (IPGS), designed to identify critical components that initiate cascading failures. The method first models cascading failures using fault chain theory, where sequential component outages are characterized by transition probabilities...
Published: 3/6/2026   |   Updated: 3/6/2026   |   Inventor(s): Nof Yasir, Di Wu
Keywords(s): Electronics & Sensors, Software & Algorithms
Category(s): Technologies > Electronics & Sensors, Technologies > Mechanical/Robotics, Technologies > Software & Algorithms
METHODS, COMPOSITIONS, AND SYSTEMS TO DETECT NON-SMALL CELL LUNG CANCER
Researchers at CZ Biohub SF and UCSF have developed novel methods for the early detection of non-small cell lung cancer. Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related deaths in the U.S., with many cases diagnosed at an advanced stage, significantly reducing survival rates. Although low-dose chest CT (LDCT) scans are effective...
Published: 4/15/2026   |   Updated: 10/23/2025   |   Inventor(s): Chukwuka Didigu, Joseph DeRisi, David Jablons, Johannes Kratz, Andrew Kung
Keywords(s): Cancer, Diagnosis
Category(s): Technology Classifications > Biology