Julianna Ianni from Proscia joins me today. What we discuss with Julianna:

• Her background in biomedical engineering and biomedical imaging.
• Transition from radiology to pathology and the overlap between the two fields.
• Role as VP of AI Research and Development at Proscia, focusing on AI applications in digital pathology.
• An overview of foundation models
• Embeddings and their role in feature extraction from data
• Concentriq Embeddings by Proscia:
• The importance of data diversity in training AI models
• Importance of collaboration with other companies in developing AI solutions.
• Future possibilities for foundation models in pathology, including multimodal applications.

Links for this episode:

Health Podcast Network

LabVine Learning

Dress A Med scrubs

Digital Pathology Club

Concentriq Embeddings Overview

"How Proscia’s AI R&D Team Leveraged Foundation Models at Scale to Build 80 Breast Cancer Biomarker Prediction Models in Under 24 Hours"

Foundation Models For Pathology AI Development At Your Fingertips

Accelerating Tumor Segmentation Model Development with Concentriq Embeddings

The Hidden Costs of AI Development in Pathology and How Concentriq Embeddings Helps Life Sciences Organizations Mitigate Them

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