Objective:

To showcase developments in digital and computational pathology, molecular pathology, and the omics revolution.

Approach:

• PANDA Challenge: A competition aimed at developing an algorithm for automatic Gleason grading of prostate cancer using digitized biopsies, involving over 1,290 developers from 65 countries.
• d-serine in Kidney Function: Research investigating the use of d-serine clearance as a measure of glomerular filtration rate (GFR) in kidney function evaluation.

Key Findings:

• The PANDA challenge demonstrated that crowdsourcing can accelerate AI development in pathology.
• Algorithms developed during the PANDA challenge achieved agreements of 0.862 and 0.868 with expert uropathologists based on validation against external datasets.
• d-serine clearance (C-dser) provides a less biased measure of GFR compared to traditional methods, as indicated by recent studies.

Interpretation:

Limitations:

• The study on d-serine clearance may require further validation in diverse populations.
• The PANDA challenge results are based on a specific dataset and may not generalize to all clinical settings.

Conclusion:

Sources:

• W Bulten et al., Nat Med, 28, 154 (2022)