Data Science Workshop Registration

Africa/Accra
Syndicate Room, IDL Conference Center , (KNUST, Ghana)

Syndicate Room, IDL Conference Center ,

KNUST, Ghana

University Post Office, Private Mail Bag KNUST Kumasi-Ghana
Description

The Data Science for Child Health Now in Ghana (DS-CHANGE) Training Program is dedicated to building data science capacity at Kwame Nkrumah University of Science and Technology (KNUST). Our mission is to develop a cadre of highly qualified data scientists focused on addressing critical child health challenges in Ghana.

Through mentored training and experiential learning, the program integrates expertise from multiple disciplines, including applied mathematics, computer science, clinical informatics, biostatistics, and epidemiology. Faculty and graduate trainees collaborate to tackle computationally complex child health problems, with a focus on malaria, injury, and congenital anomalies (such as orofacial clefts)—three of the top ten causes of child mortality and disability in Ghana.   

DS-CHANGE is built on strong collaborations with KNUST, the University of Washington (UW), Seattle Children's Hospital and Research Institute, and the non-profit Smile Train. These partnerships ensure access to global expertise and cutting-edge research opportunities.   

This workshop serves as a platform to share insights from the past year, showcasing the establishment of a dynamic industry-academia-collaboration that fosters innovation and knowledge exchange in biomedical data science.

Join us as we advance solutions through interdisciplinary collaboration!   



 

Registration
Data Science Workshop Registration Form
    • 1
      Arrival and Registration

      DS-CHANGE Support Desk

      Speaker: DS-CHANGE Support Desk
    • 2
      Welcome Address
      Speaker: Prof. Peter Donkor (KNUST)
    • 3
      Objectives and Expected Outcomes of The Workshop
      Speaker: Prof. Peter Amoako-Yirenkyi (KNUST)
    • PRESENTATIONS: CLEFT: PRESENTATIONS:CLEFT

      15 min presentation, 5 mins for Q and A

      • 4
        Implementing a Record Linkage Model For The Smile Train Dataset.

        Dr. Emmanuel Obeng Addae (MPHIL)

        Speaker: Emmanuel Obeng-Addae (NIMS)
      • 5
        Automatic Preoperative Severity Assessment of Cleft Palate

        Pomaa Addo Appiah (MPHIL)

        Speaker: Pomaa Appiah (NIMS)
      • 6
        Detection of Etiologic Copy Number Variants In Syndromic Orofacial CLefts Using Whole Exome Sequence Data From Ghanaian Case-Parent Trios
        Speaker: Samuel Kanor Qyarnor (NIMS)
      • 7
        Automatic Assessment of Cleft Speech Disorder
        Speaker: Joy Zialesi Atokple (KNUST)
    • 11:05
      SNACK BREAK
    • 8
      GROUP PHOTO
      Speaker: Media
    • PRESENTATIONS: INJURY & MALARIA
    • 13:00
      LUNCH BREAK
    • PRESENTATIONS: NEONATES AND OTHERS
      • 12
        Non-invasive Skin Image Analysis for Enhanced Detection of Neonatal Jaundice.
        Speaker: Yusuf Al-Mahroof (NIMS)
      • 13
        Prediction of Perinatal Asphyxia in Ghanaian Neonates.
        Speaker: Cephas Ekow Biney (NIMS)
      • 14
        Application of Optimization and Queueing Models in Healthcare Operations
        Speaker: Evander Nana Bosomefi Eghan (NIMS - Ghana, KNUST)
    • 15:00
      NETWORKING SESSION
    • 15
      Comments and contribution from Hospital staff and clinicians
      Speaker: Dr Lord JJ Gowans
    • 16
      Closing Remarks
      Speaker: Prof. Peter Donkor