Ishanu Chattopadhyay

  1. Predictive prognosis after Acute Pancreatitis using EHR data
  2. Predicting modeling of Intrinsic Capacity in Health Aging
  3. Sanders Brown membership
  4. Joint appointment with Computer Science, and member of CS graduate faculty
  5. R21 Submission (Mark Ebbert Co-I)
  6. Selection by VPR's office of limited submission to Mather's Foundation

Feb 2025

With Darwin Conwell's group

Predictive Prognosis of ICU Admission Following K85 diagnosis

Progression time to ICU Admission Out of sample AUC
Same day 98.5%
Next day 84.3%
In 2 weeks 92.7%
In 2-4 weeks 84.4%
In 4-8 weeks 81.3%
In 8 weeks - 6 months 80.4%
In 6 months - 1 year 77.5%

Dataset size:
\(n=\) 118,633 patients
Case: 12,644 (10.7%), Control: 105,989 (89.3%)
 

Inclusion Criteria: 35-65yrs, Diagnosed with K85 (index date), 1+ year of records prior to index; 1+ year without ICU admissions prior to index

 

Case definition:  Intensive Care Unit admission (G0390, G9657, 4168F, 99291) recorded within 1 year following index

 

Control definition: 2+ years of medical records without ICU admissions following index

ZeBRA: Zero-Burden Risk Assessment Platform \(^\dag\)

Ishanu Chattopadhyay

  1. Predictive prognosis after Acute Pancreatitis using EHR data
  2. Predicting modeling of Intrinsic Capacity in Health Aging
  3. Sanders Brown membership
  4. Joint appointment with Computer Science, and member of CS graduate faculty
  5. R21 Submission (Mark Ebbert Co-I)
  6. Selection by VPR's office of limited submission to Mather's Foundation

Feb 2025

Quantifying Healthy Aging: Intrinsic Capacity

Ishanu Chattopadhyay

  1. Predictive prognosis after Acute Pancreatitis using EHR data
  2. Predicting modeling of Intrinsic Capacity in Health Aging
  3. Sanders Brown membership
  4. Joint appointment with Computer Science, and member of CS graduate faculty
  5. R21 Submission (Mark Ebbert Co-I)
  6. Selection by VPR's office of limited submission to Mather's Foundation

Feb 2025

Large Health Models: Foundation Models of
super-Genomic Architecture of Complex Traits

R21. PAR-25-202

with Mark Ebbert

Ishanu Chattopadhyay

  1. Predictive prognosis after Acute Pancreatitis using EHR data
  2. Predicting modeling of Intrinsic Capacity in Health Aging
  3. Sanders Brown membership
  4. Joint appointment with Computer Science, and member of CS graduate faculty
  5. R21 Submission (Mark Ebbert Co-I)
  6. Selection by VPR's office of limited submission to Mather's Foundation

Feb 2025

BioNORAD: Scalable Emergence Risk Assessment of Animal Influenza A

MATHER'S Foundation

Co-Principal Investigator (Co-PI):
Dr. Saurabh Chattopadhyay
Associate Professor, Department of Microbiology, Immunology, and Molecular Genetics
University of Kentucky College of Medicine

 

Co-Principal Investigator (Co-PI):
Dr. Balaji Manicassamy
Professor, Department of Microbiology and Immunology
University of Iowa