Ivo Dinov, PhD
Professor of Nursing
Director Academic Program
School of Nursing
Professor of Computational Medicine and Bioinformatics
Statistics Online Computational Resource (SOCR)
426 N. Ingalls Street
Ann Arbor, MI 48109-2003
[email protected]

Available to mentor

Ivo Dinov, PhD
Professor
  • About
  • Links
  • Qualifications
  • Center Memberships
  • Research Overview
  • Recent Publications
  • About

    Ivo Dinov is SOCR Director and professor of Health Behavior and Biological Sciences, and Computational Medicine and Bioinformatics. He is an expert in mathematical modeling, complex time (kime) and spacekime theory, statistical analysis, computational processing, scientific visualization of large datasets (Big Data), and predictive ML/AI health analytics. His applied research is focused on informatics, multimodal biomedical image analysis, and distributed genomics computing. Dr. Dinov is a member of the Michigan Center for Applied and Interdisciplinary Mathematics (MCAIM) and a core member of the University of Michigan Comprehensive Cancer Center.

    Links
    • SOCR
    • Dinov Bio
    • Dinov Pubs
    • SOCR Research
    • DInov GoogleScholar
    • SOCR News
    Qualifications
    • Ph.D.
      Florida State University, Tallahassee
    • M.S.
      Florida State University, Tallahassee
    • M.S.
      Michigan Technological University, Houghton
    • B.S.
      Sofia University, Sofia
    Center Memberships
    • Center Member
      Institute for Healthcare Policy and Innovation
    • Center Member
      e-Health and Artificial Intelligence Initiative
    • Center Member
      Precision Health Initiative
    • Center Member
      Center for Integrative Research in Critical Care
    Research Overview

    In addition to his core STEM scholarly activities, specific artificial intelligence (AI) research projects led by Dr. Dinov include spacekime analytics using longitudinal morphometric studies of development (e.g., Autism, Schizophrenia), maturation (e.g., depression, pain) and aging (e.g., Alzheimer’s disease, Parkinson’s disease). He also studies the intricate relations between genetic traits (e.g., SNPs), clinical phenotypes (e.g., disease, behavioral and psychological test) and subject demographics (e.g., race, gender, age) in variety of brain and heart related disorders. Dr. Dinov is developing, validating, and disseminating novel methods (e.g., spacekime analytics) and technologies (e.g., CBDA, DataSifter, TCIU) for mathematical modeling, statistical computing, biomedical applications, scientific education, and active learning.

    Recent Publications See All Publications
    • Preprint
      Intricacies of Human-AI Interaction in Dynamic Decision-Making for Precision Oncology: A Case Study in Response-Adaptive Radiotherapy.
      Niraula D, Cuneo KC, Dinov ID, Gonzalez BD, Jamaluddin JB, Jin JJ, Luo Y, Matuszak MM, Ten Haken RK, Bryant AK, Dilling TJ, Dykstra MP, Frakes JM, Liveringhouse CL, Miller SR, Mills MN, Palm RF, Regan SN, Rishi A, Torres-Roca JF, Yu H-HM, El Naqa I. 2024 Apr 30; DOI:10.1101/2024.04.27.24306434
      PMID: 38746238
    • Journal Article
      A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS).
      Niraula D, Sun W, Jin J, Dinov ID, Cuneo K, Jamaluddin J, Matuszak MM, Luo Y, Lawrence TS, Jolly S, Ten Haken RK, El Naqa I. Sci Rep, 2023 Mar 31; 13 (1): 5279 DOI:10.1038/s41598-023-32032-6
      PMID: 37002296
    • Journal Article
      Generalizable prediction of childhood ADHD symptoms from neurocognitive testing and youth characteristics.
      Weigard A, McCurry KL, Shapiro Z, Martz ME, Angstadt M, Heitzeg MM, Dinov ID, Sripada C. Transl Psychiatry, 2023 Jun 24; 13 (1): 225 DOI:10.1038/s41398-023-02502-6
      PMID: 37355620
    • Journal Article
      Machine learning-based colorectal cancer prediction using global dietary data.
      Abdul Rahman H, Ottom MA, Dinov ID. BMC Cancer, 2023 Feb 10; 23 (1): 144 DOI:10.1186/s12885-023-10587-x
      PMID: 36765299
    • Journal Article
      Machine Learning-Based Prediction of Mental Well-Being Using Health Behavior Data from University Students.
      Abdul Rahman H, Kwicklis M, Ottom M, Amornsriwatanakul A, H Abdul-Mumin K, Rosenberg M, Dinov ID. Bioengineering (Basel), 2023 May 10; 10 (5): DOI:10.3390/bioengineering10050575
      PMID: 37237644
    • Journal Article
      Multimodal Stereotactic Brain Tumor Segmentation Using 3D-Znet.
      Ottom MA, Abdul Rahman H, Alazzam IM, Dinov ID. Bioengineering (Basel), 2023 May 11; 10 (5): DOI:10.3390/bioengineering10050581
      PMID: 37237652
    • Preprint
      Numerical methods for computing the discrete and continuous Laplace transforms
      Zhang Y, Shen Y, Zhang R, Liu Y, Guo Y, Deng D, Dinov ID. 2023 Apr 25; arXiv, DOI:10.48550/arxiv.2304.13204
    • Journal Article
      Brain structure and allelic associations in Alzheimer's disease.
      Moon SW, Zhao L, Matloff W, Hobel S, Berger R, Kwon D, Kim J, Toga AW, Dinov ID, Alzheimer's Disease Neuroimaging Initiative . CNS Neurosci Ther, 2023 Apr; 29 (4): 1034 - 1048. DOI:10.1111/cns.14073
      PMID: 36575854