Computer Vision for Smarter Healthcare

Medical images are more than pictures.
They are data-rich maps of biology in motion.

When AI learns to read these images, clinical trials become faster, more precise, and more scalable.
Understanding how this works puts you at the intersection of machine learning and real-world healthcare impact.

In this industry-focused session, Dr. Alex Benjamin brings together:

• Transformer-based models applied to clinical imaging
• AI-driven patient stratification and disease measurement
• Endpoint evaluation in regulated healthcare environments

We’ll explore:

• How Vision Transformers analyze complex medical imaging data
• How AI supports patient recruitment and trial acceleration
• What it takes to deploy medical AI in real clinical settings
• How research innovations translate into scalable biotech solutions

These concepts tie directly into BlendED's AI and Computer Vision in BioTech – Novo Nordisk Project, where participants build transformer-based imaging models, work with real-world clinical-style data and deploy AI systems in a hands-on applied setting.

This workshop is especially relevant if you:

• Are interested in applied AI in healthcare and biotech
• Want to understand how transformer architectures move from theory to practice
• Are exploring careers in medical AI, clinical research, or computational imaging
• Want insight into how large pharmaceutical companies integrate AI into trials

Hosted by Dr. Alex Benjamin
Senior Imaging Scientist at Novartis
Researcher at MIT