CD3+ T-cell count prediction for anti-thymocyte globulin treatment monitorization in kidney transplant recipients: a machine learning model - Top-Institutions - MDSpire

CD3+ T-cell count prediction for anti-thymocyte globulin treatment monitorization in kidney transplant recipients: a machine learning model

  • By

  • Ahmet B. Ak

  • Hayri K. Goren

  • Nuri B. Hasbal

  • Nur I. Genc

  • Sidar Copur

  • Lasin Ozbek

  • Burak Kocak

  • Adrian Covic

  • Mehmet Kanbay

  • June 18, 2026

  • 0 min

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Top Institutions in Infectious Disease

Brief introduction explaining scope and methodology.

  • #1

    Koc University Biomedical Research Ethics Committee Institutional Review Board
    Koc University Biomedical Research Ethics Committee Institutional Review Board

    Istanbul, Turkey

    Key Differentiators

    • Transplant Surgery

  • #2

    Mayo Clinic
    Mayo Clinic

    Rochester, Minnesota

    Key Differentiators

    • Transplant Surgery

Original Source(s)

CD3+ T-cell count prediction for anti-thymocyte globulin treatment monitorization in kidney transplant recipients: a machine learning model

  • by Ahmet B. Ak, Hayri K. Goren, Nuri B. Hasbal, Nur I. Genc, Sidar Copur, Lasin Ozbek, Burak Kocak, Adrian Covic, Mehmet Kanbay

  • June 18, 2026

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