Brian Athey University of MichiganUnited States

30 MARCH 2023

Time Session
08:30
10:30
Open Science Course: Working With Large Scale Data Sets for the Nephrologist - Big Data in Health and Medicine
Brian Athey Chairperson University of MichiganUnited States
Mark Ibberson Chairperson Mark.Ibberson@sib.swissDrSwitzerland
Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Improving Kidney Health Through Big Data and Data Science - Experience from China
    LuXia Zhang Speaker Peking University First HospitalChina
  • Searching the Global Knowledge Base in Real Time: How Can Renal Researchers Responsibly Utilize ChatGTP and Related Resources in Research and Education. With Live Demonstrations and Discussion.
    Brian Athey Speaker University of MichiganUnited States
  • The Future of Artificial Intelligence and Machine Learning in Kidney Health and Disease
    Girish Nadkarni Speaker Mount Sinai School of MedicineUnited States
  • Q and A
MR 109 CDHG
11:00
13:00
Open Science Course: Working With Large Scale Data Sets for the Nephrologist - Systems Biology Large Scale Data Generation and Mining
Brian Athey Chairperson University of MichiganUnited States
Mark Ibberson Chairperson Mark.Ibberson@sib.swissDrSwitzerland
Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Federated Databases Bring Your Analyses to the Data; Experiences from BEAt-DKD and Beyond
    Mark Ibberson Speaker Mark.Ibberson@sib.swissDrSwitzerland
  • Kidney Tissue Level Multiscalar Data Mining in CKD and AKI: Insights and Tools from KPMP
    Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States
  • How Big Data Can Help Your Kidney Research; Only a Mouse Click Away
    Wenjun Ju Speaker wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Q and A
MR 109 CDHG
14:00
16:00
Open Science Course: Working With Large Scale Data Sets for the Nephrologist - Panel discussion: Challenges and Opportunities of Big Data and Open Science in the Kidney Field. Hands-on Training: Online Data Mining for Molecular Analysis of Renal Disease
Brian Athey Chairperson University of MichiganUnited States
Mark Ibberson Chairperson Mark.Ibberson@sib.swissDrSwitzerland
Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Panel Discussion
    Girish Nadkarni Speaker Mount Sinai School of MedicineUnited States
    John Cijiang He Speaker United States
    Heather Ascani Speaker University of MichiganUnited States
    Darren Kelly Speaker Certa TherapeuticsAustralia
    Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States
    Maria F. Gomez Speaker Sweden
  • Hands-on Training: Online Data Mining for Molecular Analysis of Renal Disease
MR 109 CDHG