Ph.D. defense
Darshana Govind successfully defended her Ph.D. dissertation!
Darshana Govind successfully defended her Ph.D. dissertation!
Dr. Sarder presented a talk titled “Human AI loop in the cloud for distributed computation” at the 29th Conference on Intelligent Systems for Molecular Biology and 20th European Conference on Computational Biology.
We received a pilot funding from the Diabetic Complications Consortium to investigate data fusion of renal biopsy images and urinary proteomics data in studying diabetic nephropathy progression.
We received a one-year funding from the Human Biomolecular Project Consortium to study renal micro-compartmental morphometric distributions in normal reference tissue images.
Dr. Sarder presented a talk titled “Machine learning in digital pathology” at the 8th Semi-Annual NIH O’Brien Center Microscopy Workshop, Indiana University, Indianapolis, IN.
Dr. Sarder presented a talk titled “Computational nephropathology for chronic kidney diseases” at the Brigham and Women’s Hospital Computational Pathology Symposium, Harvard Medical School, Boston, MA.
Dr. Sarder presented a talk titled “Urinary proteomics data guides AI to discover new digital image biomarkers for diabetic nephropathy classification“ at the Kidney Precision Medicine Project (KPMP) Consortium’s Semi-Annual Meeting, Washington, DC.
Brandon Ginley's work on automated computational detection of interstitial fibrosis, tubular atrophy, and glomerulosclerosis appears in the Journal of the American Society of Nephrology.
Dr. Sarder presented a talk titled “Beyond segmentation in computational nephropathology,” at the Department of Pathology and Laboratory Medicine, the University of California at Davis, Sacramento, CA.
Our abstracts: (i) "Prognostic glomerular morphometric phenotype discovery via clustering across large datasets" and (ii) "Urinary proteomics data guides AI to discover new digital biomarkers for diabetic nephropathy classification," were selected by the Renal Pathology Society as two out of the three best abstracts for 2020-21.