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LIANA SEGA

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Division of Computing, Analytics and Mathematics

School of Science and Engineering, University of Missouri Kansas City

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Could Artificial Intelligence help in predicting opioid use disorders? All that glitters is not gold.

Cascella, Marco. 2025. “Could Artificial Intelligence Help in Predicting Opioid Use Disorders? All That Glitters Is Not Gold.”. Journal of Opioid Management 21 (5): 367-68.
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Last updated on 10/22/2025
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Recent Publications

  • One-Year Progression of Capillary Nonperfusion in Nonproliferative Diabetic Retinopathy Using Noninvasive Imaging: The CHART Study.
  • The role of feedback for sensorimotor decisions under risk.
  • A Simulation Procedure for Stereological Correction of Early AMD Lesion Sizes Observed in Single OCT-B-Scans.
  • Retinal Amyloid Clearance Enhanced by 40-Hz Light Flicker via MHC-II+ Microglia Regulation in Mice.
  • [Not Available].
  • Community Lifelines approach: Emergency management's role in ensuring access to water.

Liana Sega, Ph.D.

University of Missouri - Kansas City

Division of Computing, Analytics and Mathematics. 
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5100 Rockhill Road, Flarsheim Hall 352J

Kansas City, Missouri 64110

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