Continuing the discussion from Challenge Trials for COVID-19 Trials Beginning:
@sfmatheson, can you tell us about your Kidney Donation Foundation, why you chose to start it, and what your experience was donating a kidney?
I have not mentioned this before, but I’m doing work specifically on kidney transplantation and AI. We good reason to hope that this work will substantially increase the number of transplantable kidneys.
Deep Learning Global Glomerulosclerosis in Transplant Kidney Frozen Sections
Transplantable kidneys are in very limited supply. Accurate viability assessment prior to transplantation could minimize organ discard. Rapid and accurate evaluation of intra-operative donor kidney biopsies is essential for determining which kidneys are eligible for transplantation. The criterion for accepting or rejecting donor kidneys relies heavily on pathologist determination of the percent of glomeruli (determined from a frozen section) that are normal and sclerotic. This percentage is a critical measurement that correlates with transplant outcome. Inter- and intra-observer variability in donor biopsy evaluation is, however, significant. An automated method for determination of percent global glomerulosclerosis could prove useful in decreasing evaluation variability, increasing throughput, and easing the burden on pathologists. Here, we describe the development of a deep learning model that identifies and classifies non-sclerosed and sclerosed glomeruli in whole-slide images of donor kidney frozen section biopsies.
Good news to report too. Our Phase 2 STTR got an impact score of 17 (scores range from the best to worst, 10 to 90), which translates into “we are very likely to get funded.”