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Opioid use disorder (OUD) is a chronic and relapsing condition that involves the continued and compulsive use of opioids despite harmful consequences. The development of medications with improved efficacy and safety profiles for OUD…

Biomolecules · Quantitative Biology 2023-03-02 Hongsong Feng , Jian Jiang , Guo-Wei Wei

Chronic pain (CP) and opioid use disorder (OUD) are common and interrelated chronic medical conditions. Currently, there is a paucity of evidence-based integrated treatments for CP and OUD among individuals receiving medication for opioid…

Overdose related to prescription opioids have reached an epidemic level in the US, creating an unprecedented national crisis. This has been exacerbated partly due to the lack of tools for physicians to help predict the risk of whether a…

Opioid Use Disorder (OUD) is a public health crisis costing the US billions of dollars annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal healthcare data is critical in addressing many real-world problems…

Opioid use disorder (OUD) continuously poses major public health challenges and social implications worldwide with dramatic rise of opioid dependence leading to potential abuse. Despite that a few pharmacological agents have been approved…

Biomolecules · Quantitative Biology 2023-01-13 Hongsong Feng , Rana Elladki , Jian Jiang , Guo-Wei Wei

The opioid epidemic in the United States claims over 40,000 lives per year, and it is estimated that well over two million Americans have an opioid use disorder. Over-prescription and misuse of prescription opioids play an important role in…

Quantitative Methods · Quantitative Biology 2019-05-03 Jen J. Gong , Abigail Z. Jacobs , Toby E. Stuart , Mathijs de Vaan

The opioid epidemic is a crisis that has plagued the United States (US) for decades. One central issue is inequitable access to treatment for opioid use disorder (OUD), which puts certain populations at a higher risk of opioid overdose. We…

Physics and Society · Physics 2024-03-14 Joyce Luo , Bartolomeo Stellato

Opioids are an effective analgesic for acute and chronic pain, but also carry a considerable risk of addiction leading to millions of opioid use disorder (OUD) cases and tens of thousands of premature deaths in the United States yearly.…

Quantitative Methods · Quantitative Biology 2024-03-27 Sybille Légitime , Kaustubh Prabhu , Devin McConnell , Bing Wang , Dipak K. Dey , Derek Aguiar

Understanding the neurobiology of opioid use disorder (OUD) using resting-state functional magnetic resonance imaging (rs-fMRI) may help inform treatment strategies to improve patient outcomes. Recent literature suggests time-frequency…

Neurons and Cognition · Quantitative Biology 2025-03-12 Ahmed Temtam , Megan A. Witherow , Liangsuo Ma , M. Shibly Sadique , F. Gerard Moeller , Khan M. Iftekharuddin

The opioid epidemic, referring to the growing hospitalizations and deaths because of overdose of opioid usage and addiction, has become a severe health problem in the United States. Many strategies have been developed by the federal and…

Computation and Language · Computer Science 2024-09-11 Yuchen Wang , Zhengyu Fang , Wei Du , Shuai Xu , Rong Xu , Jing Li

The United States is currently experiencing an unprecedented opioid crisis, and opioid overdose has become a leading cause of injury and death. Effective opioid addiction recovery calls for not only medical treatments, but also behavioral…

Social and Information Networks · Computer Science 2019-12-04 Zhou Yang , Spencer Bradshaw , Rattikorn Hewett , Fang Jin

Preoperative opioid use has been reported to be associated with higher preoperative opioid demand, worse postoperative outcomes, and increased postoperative healthcare utilization and expenditures. Understanding the risk of preoperative…

Machine Learning · Computer Science 2022-05-18 Yuming Sun , Jian Kang , Chad Brummett , Yi Li

Opioid Use Disorder (OUD) has emerged as a significant global public health issue, with complex multifaceted conditions. Due to the lack of effective treatment options for various conditions, there is a pressing need for the discovery of…

Machine Learning · Computer Science 2023-06-14 Hongsong Feng , Rui Wang , Chang-Guo Zhan , Guo-Wei Wei

Childhood obesity is a major public health challenge. Early prediction and identification of the children at a high risk of developing childhood obesity may help in engaging earlier and more effective interventions to prevent and manage…

Applications · Statistics 2022-05-03 Mehak Gupta , Thao-Ly T. Phan , Timothy Bunnell , Rahmatollah Beheshti

Opioid overdose is a growing public health crisis in the United States. This crisis, recognized as "opioid epidemic," has widespread societal consequences including the degradation of health, and the increase in crime rates and family…

Machine Learning · Computer Science 2020-06-01 Ali Mert Ertugrul , Yu-Ru Lin , Tugba Taskaya-Temizel

Motivation: Opioid use disorder (OUD) often arises after prescription opioid exposure and follows transitions among onset, remission, and relapse. Linked EHR-survey resources such as the All of Us Research Program enable stage-specific risk…

Quantitative Methods · Quantitative Biology 2026-01-23 Mengman Wei , Stanislav Listopad , Qian Peng

The opioid crisis has been one of the most critical society concerns in the United States. Although the medication assisted treatment (MAT) is recognized as the most effective treatment for opioid misuse and addiction, the various side…

Substance Use Disorders (SUDs) involve the misuse of any or several of a wide array of substances, such as alcohol, opioids, marijuana, and methamphetamine. SUDs are characterized by an inability to decrease use despite severe social,…

Computers and Society · Computer Science 2020-06-25 Lana Yarosh , Suzanne Bakken , Alan Borning , Munmun De Choudhury , Cliff Lampe , Elizabeth Mynatt , Stephen Schueller , Tiffany Veinot

Introduction: Chronic pain patients are at increased risk of opioid-misuse. Less is known about the unique risk conferred by each pain-management treatment, as treatments are typically implemented together, confounding their independent…

Early prediction of Alzheimer's disease (AD) is crucial for timely intervention and treatment. This study aims to use machine learning approaches to analyze longitudinal electronic health records (EHRs) of patients with AD and identify…

Machine Learning · Computer Science 2025-04-29 Rumeng Li , Xun Wang , Dan Berlowitz , Brian Silver , Wen Hu , Heather Keating , Raelene Goodwin , Weisong Liu , Honghuang Lin , Hong Yu
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