Earlier this week, I had the privilege of presenting a webinar, “Applying Patient-Level Data & AI in Rare Diseases & Oncology,”. We closed the session by demonstrating how AI can reduce up to 40% workloads for key functions like medical affairs, commercial, market research, and clinical. 

I want to thank everyone who joined, and I am deeply encouraged by the engagement and thoughtful discussions around how we can make AI truly transformative in life sciences.💡 I was truly inspired by the interest it received, including from #AI experts representing many top pharmaceutical and biotech companies.

It’s clear to me, now more than ever, AI can reshape our work — not just for efficiency, but for real impact on patient care. In the session, I highlighted some compelling findings from McKinsey & Co. about AI’s potential to reduce workloads in pharma companies. 

A few key takeaways from our discussion:

✅ Access to Data is critical: Integrated patient-mediated data is far superior to the traditional tokenization approach. Successful Real-world evidence generation depends on harmonizing longitudinal patient records and unstructured data, which make up over 80–90% of healthcare data. 📁

✅ Context matters: 80% of AI projects fail to show ROI because the data lacks clinical depth or domain-specific context. ⚙️

✅ Human in the Loop: Combining AI-driven insights with expert annotation and clinical validation ensures reliable, real-world relevance. 🩺

✅ Patient-first approaches: Patient-mediated data collection enhances transparency, accuracy, and completeness—especially vital when studying rare conditions. 👥

Thanks to my team for organizing this discussion and for demonstrating how our AI tools can quickly answer real-world data questions—like analyzing insights from large patient data sets in seconds.⚡

For those who missed the live session, you can still request access to the full recording by sending us a message. 🎞️📩

At Clinakos, we remain committed to advancing responsible, patient-centered AI—transforming how life sciences organizations understand diseases, accelerate discovery, and improve care outcomes. 🌟🔬💙