From Workflow Efficiency to Predictive Biomarkers: Eric Walk on the Future of AI Pathology

In this episode of the Pathology News podcast, Sidney Ocanagil-Tunstall speaks with Eric Walk about the evolving role of deep neural networks in digital pathology and how AI-assisted tools are beginning to reshape clinical diagnostics and drug development.Eric reflects on his career journey from diagnostic pathology into precision medicine and biomarker innovation, before exploring how AI is currently being deployed across pathology workflows, clinical trials, and translational research. The conversation covers digital transformation in pathology, workflow efficiency, predictive biomarkers, variability in clinical trials, and the growing role of AI-assisted decision support.The episode also explores PathAI’s work in MASH and inflammatory bowel disease, including FDA and EMA-qualified AI assist tools designed to improve biomarker scoring and endpoint assessment. Rather than focusing solely on diagnosis, the discussion highlights how computational pathology is enabling more structured histopathology data, improving reproducibility, and creating new opportunities for precision medicine and clinical research.