Clinicians often produce large amounts of data, from patient metrics to drug component analysis. Classical statistical analysis can provide a peek into data interactions, but in many cases, machine learning can provide additional insight into new features. Recently, with the boom of new artificial intelligence models, these clinicians are more…
Distributed Pharmaceutical Supply Management Using Hyperledger Fabric
Blockchain technology is a still emerging field that is seeing increased usage beyond its conception in decentralized banking. One field where that poses a unique challenge for blockchain adoption is healthcare, where data security of Protected Health Information (PHI) is of utmost importance. [caption id="" align="aligncenter" width="2031"] https://www.slalom.com/insights/how-blockchain-will-disrupt-your-industry[/caption] This project,…
Blockchain Applications for Healthcare Communications
Abstract- As a relatively new technology, Blockchain’s applications are still being explored in many fields. Its usage for the secure storage of data makes it an ideal candidate to update the modern healthcare communication system. Currently, hospitals in the United States have no good way to securely communicate important patient…
UK Digital Twin Environment to Transport Clinical Specimens using AI
Introduction: The Institute for Biomedical Informatics is always looking for ways to improve the efficiency of our hospital system. One way to do this is through the transportation of clinical specimens from Chandler Hospital to Shriner's Hospital and Good Samaritan Hospital using AI pathfinding and collision avoidance. By training a…
Distributing Workloads over Esports Gaming Computers to Train Machine Learning Models
As machine learning models become more and more computationally complex, there is a need for high-performance computing architecture. With the newly opened Esports lounge, there is an opportunity to utilize 30+ machines using the top-spec hardware. Cresco in conjunction with ClearML is being used to train cancer predicting models for…
Creation of a Distributed LoRaWAN Network to Cover the UK Campus
Abstract - Long Range Wide Area Network (LoRaWAN) is an emerging technology that uses low-cost, low-energy intermediate gateways between a central network and end devices. Starting in 2009, LoRaWAN has gained popularity and has been deployed in many environments including agriculture, healthcare, and cities. With the tremendous amount of data…
Cresco: Distributed Resource Management Framework
Edge Computing Edge Computing is the migration of computational functionality to sources of data generation. The importance of edge computing increases with the size and complexity of devices and resulting data. In addition, the coordination of global edge-to-edge communications, shared resources, high-level application scheduling, monitoring, measurement, and Quality of Service…