One big thing:

Unlike large language models, Techcyte uses convolutional neural networks for medical image analysis, helping experts detect diseases by analyzing digitized glass slides.

Why it matters:

This AI approach increases diagnostic accuracy while addressing critical labor shortages in laboratory medicine.

Key points

• Global shortage of lab technologists makes diagnostics slow and error-prone.
• AI boosts accuracy at labs like ARUP, Mayo Clinic, and Quest.
• Utah’s tech ecosystem plus medical research institutions are fueling breakthroughs.

Between the lines:

Techcyte maintains humans in the loop – their AI doesn’t replace medical experts but makes them more efficient and accurate by analyzing every pixel.

What’s next:

Cahoon sees enormous potential in combining digital pathology with patient history and genetic data to create multimodal diagnostic models that surpass human capabilities.