From Wearables to Warnings: Predicting Pain Spikes in Patients with Opioid Use Disorder Preprint

cited authors

  • Goyal, Abhay; Kumar, Navin; DiMeola, Kimberly; Trujillo, Rafael; Shimgekar, Soorya Ram; Poellabauer, Christian; Zonooz, Pi; Gjoni-Markaj, Ermonda; Barry, Declan; Madden, Lynn

authors

publication date

  • November 24, 2025
  • January 12, 2026

keywords

  • 2.1 Biological and endogenous factors
  • 3 Good Health and Well Being
  • 32 Biomedical and Clinical Sciences
  • 3214 Pharmacology and Pharmaceutical Sciences
  • 4.1 Discovery and preclinical testing of markers and technologies
  • 7.1 Individual care needs
  • Behavioral and Social Science
  • Bioengineering
  • Brain Disorders
  • Chronic Pain
  • Clinical Research
  • Clinical Trials and Supportive Activities
  • Data Science
  • Drug Abuse (NIDA only)
  • Generic health relevance
  • Machine Learning and Artificial Intelligence
  • Mental health
  • Networking and Information Technology R&D (NITRD)
  • Neurosciences
  • Opioid Misuse and Addiction
  • Opioids
  • Pain Research
  • Substance Misuse

Digital Object Identifier (DOI)