What did 2025 actually change for digital pathology and AI—and what does it mean for diagnostics, patient care, and drug discovery in 2026? I’m going live from London at the 11th Digital Pathology & AI Congress to share a focused end-of-year recap: what worked, what stalled, and what truly moved pathology forward this year. We’ll look at how digital pathology shifted from adoption to optimization, where AI proved clinically valuable, how workflow readiness and validation shaped progress, and why
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In digital pathology, color isn’t just visual—it’s clinical. From misinterpreting eosinophils to confusing chromatin patterns, even slight color shifts can alter the diagnosis. And when AI enters the picture? Inconsistent color ruins reproducibility. Here’s what every lab should know: 🧬 sRGB limitations can block high-fidelity diagnosis 👀 Our perception of color is subjective—but diagnostic decisions shouldn’t be 💻 Uncalibrated monitors silently drift over time ⚠️AI models trained on inconsis
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