Wenjun Ju University Of Michigan Medical CenterUnited States

Wenjun Ju is a Research Scientist in the Department of Medicine and Computational Medicine and Bioinformatics at the University of Michigan. Dr. Ju has a track record leading discovery of molecular mechanism-based targets and disease biomarkers using integrative multi-Omics (big data) strategy on kidney biopsies and biofluids of patients with chronic kidney disease (CKD). These biomarkers can serve as critical tools for molecular diagnosis and prognosis of CKD, as well as for predicting patients’ treatment response to cardio-renal protective drugs. In addition, Dr. Ju is actively involved in multiple international biomarker consortiums, including Nephrotic Syndrome Study Network (NEPTUNE), Biomarker Enterprise to Attack Diabetic Kidney disease (BEAt-DKD), and “Personalized Drug Response: Implementation And Evaluation In CKD (PRIME-CKD).”Dr. Ju and her colleagues seek to translate their discoveries from bench to bedside to deliver precision kidney medicine to patients and improve their kidney outcomes for patients with CKD worldwide.

1 APRIL 2023

Time Session
11:45
12:45
Sritippayawan Suchai Chairperson Siriraj Hospital Thailand
Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Novel Biomarkers in CKD
    Hiddo Lambers Heerspink Speaker University medical Center GroningenNetherlands
  • How to Use Large Omics Data to Understand CKD
    Markus Rinschen Speaker Aarhus University/University Hospital Hamburg EppendorfGermany
  • Mechanisms of the Cardio-Renal Axis
    Salim Hayek Speaker University of MichiganUnited States
  • Q and A
Plenary Halls 2 & 3
15:45
16:45
Wenjun Ju Chairperson wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
Maria F. Gomez Chairperson Sweden
  • Summary of Big Data and Open Science Pre-symposium
    Wenjun Ju Speaker wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Panel Discussion
    Anil Karihaloo Speaker Novo NordiskUnited States
    Darren Kelly Speaker Certa TherapeuticsAustralia
    Heather Ascani Speaker University of MichiganUnited States
    Jonathan Himmelfarb Speaker jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States
    Olga Troyanskaya Speaker Princeton UniversityUnited States
  • Moderated Free Communication with Panelists
  • Summary and Conclusion
    Maria F. Gomez Speaker Sweden
MR 109 CDHG
17:00
18:00
  • Acid-base and Electrolyte Abnormalities in Kidney Disease
    Andréa Stinghen Moderator Universidade Federal do ParanáBrazil
  • Acute Kidney Injury Clinical, Drugs, AKI-CKD Continuum 2
    Rolando Claure-Del Granado Moderator Hospital Obrero No 2 - C.N.S.Bolivia
  • Chronic Kidney Disease Complications (CVD, Hypertension, Anemia, BMD, Nutrition, Infection) 3
    Kraiwiporn KIATTISUNTHORN Moderator Siriraj HospitalThailand
  • Chronic Kidney Disease Diagnosis, Classification and Progression 2
    Richard Kitching Moderator Monash University, Monash Medical CenterAustralia
  • Chronic Kidney Disease, Experimental Models, Biomarkers, Precision Medicine 2
    Wenjun Ju Moderator wenjunj@med.umich.eduUniversity Of Michigan Medical CenterUnited States
  • Clinical Glomerulonephritis 3
    Hernan Trimarchi Moderator HOSPITAL BRITANICO DE BUENOS AIRESArgentina
  • Covid-19 and CKD
    Opeyemi Olabisi Moderator Duke UniversityUnited States
  • Curriculum
    Prapaipim Thirakhupt Moderator prapaipimt@yahoo.com
  • Diabetic Kidney Disease, Drugs and Treatments 2
    Dr Giorgina Barbara Piccoli Moderator gpiccoli@ch-lemans.frCHM Le MansFrance
  • Epidemiology, Outcomes and Health Service Research Related to CKD or Its Complications 2
    Sabine Karam Moderator Saint George Hospital University Medical CenterLebanon
  • Epidemiology, Outcomes and Health Services Research in Dialysis 2
    Ana Elizabeth Figueiredo Moderator anaef@pucrs.brBrazil
  • Essential Hypertension and Renovascular Kidney Disease
    Barry Freedman Moderator Wake Forest University School of Medicine United States
  • Genetics and Epigenetics (Including Common and Rare Genetic Diseases)
    Chairat Shayakul Moderator Faculty of Medicine Siriraj Hospital, THAILANDThailand
  • Haemodialysis, Haemodiafiltration and Vascular Access 2
    Brendan Smyth Moderator St George HospitalAustralia
  • Haemodialysis, Haemodiafiltration and Vascular Access 3
    Jonathan Himmelfarb Moderator jhimmelfarb@nephrology.washington.eduKidney Research Institute, University of Washington United States
  • Inflammation, Fibrosis, Matrix Biology and Oxidative Stress
    Youhua LIU Moderator University of PittsburghUnited States
  • Kidney Transplantation and Transplant Immunology 3
    Narayan Prasad Moderator Sanjay Gandhi Post Graduate Institute of Medical SIndia
  • Kidney Transplantation and Transplant Immunology 4
    Professor Yingyos Avihingsanon Moderator yingyos@hotmail.com
  • Late Breaking Clinical Trials
    Muh Geot Wong Moderator University of SydneyAustralia
  • Nephrotic Syndrome
    Alessia Fornoni Moderator University of MiamiUnited States
  • Other CKD 2
    Jie Dong Moderator jie.dong@bjmu.edu.cnPeking University First HospitalChina
  • Other KF (Kidney Failure)
    Tai Shuan Lai Moderator National Taiwan University HospitalTaiwan
  • Peritoneal Dialysis 2
    Piyatida Chuengsaman Moderator Thailand
  • Peritoneal Dialysis 3
    Afiatin Abdurahman Moderator
  • Training
    Naowanit Nata Moderator
  • Tropical Kidney Diseases (Viral Nephropathies, TB, Schistosomiasis, Malaria, Leptospirosis, Animal Venoms)
    Opas Traitanon Moderator
  • Urologic Disorders
    Sritippayawan Suchai Moderator Siriraj Hospital Thailand
  • Vascular Biology and Endothelial Function
    Reiko Inagi Moderator Univ of Tokyo - Grad. School of MedicineJapan
Ballroom 2-3-4-Exhibition Hall

30 MARCH 2023

Time Session
08:30
10:30
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
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
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