Inside a Real AI in Healthcare Case: What Worked and What Didn’t

Description

This session explores the story behind a diagnostic platform built through collaboration between software engineers, microbiologists, and data scientists.

The speakers will unpack how the system’s architecture took shape, how the team dealt with imperfect data, and what it meant to design technology that had to meet both technical and clinical standards.

They’ll also share the unexpected insights that emerged along the way – moments when the code, research, and regulation had to find common ground. It’s not a showcase or a success story, but a realistic look at what it takes to make AI part of modern healthcare.

⏰ Date & Time

🗓 November 6, 2025🕒 15:00 EDT (New York) | 21:00 CEST (Berlin)

📍 Online Event

🎙 Speakers

✅ Igor Omelianchuk Tech & R&D Expert, CEO at Corsac TechFocused on bringing AI from concept to production in healthcare, biotech, and diagnostics.

✅ Andrew Lychuk Fractional CTO & IT Infrastructure StrategistHelps health and research startups design scalable technical architecture for data-intensive systems.

💡 Key points we’ll cover

• What challenges appeared during development — and how the team solved them.
• How the Corsac Tech team worked with scientists to turn data into practical tools.
• What lessons from this project can help others build reliable AI solutions for healthcare.
• What “AI success” really means when patient outcomes are on the line

🔎 Who should attend?

• Healthcare innovators exploring AI adoption
• Founders and R&D leaders building data-driven medical platforms
• Product managers, CTOs, and investors in HealthTech or BioTech
• AI specialists looking to understand medical-grade implementation

👉 Reserve your spot now to learn what it really takes to build AI that saves lives – not just generates headlines.