Clinakos

Leveraging AI/ML to Improve Marketing Effectiveness in Rare Disease & Beyond

Clinakos, AI, ML, Artificial Intelligence, Medically Smart AI, Machine Learning, Rare Diseases, Oncology, Pharmaceutical, Patient Finding, Data

“Leveraging AI/ML to Improve Marketing Effectiveness in Rare Disease & Beyond” from Clinakos Inc., Chiesi Global Rare Diseases and Real Chemistry received a lot of interest at the Intellus Worldwide annual conference last week.

Lisa Griffith opened the presentation with Inder Jaggi and Araba Nti taking turns showcasing multiple case studies that highlighted actionable insights and innovative strategies for biopharma product marketing. The room was full with representatives from biopharmaceutical, market research, and consulting companies.

Some topics we delved into included:
🚀 Patient Finding for rare diseases
🚀 Role of syndicated data and patient-level data repositories
🚀 Application of advanced technologies (including NLP, AI models, and semantic technologies)
🚀 AI Assisted Marketing Insights including for new therapy launches
🚀 AI-enabled Micro-Targeting of Rare Diseases within larger disease populations
🚀 Importance of unstructured data
🚀 Bolstering organizational readiness for AI
🚀 Retrospective and Prospective Real-World Patient-Level Data

Clinakos Inc., in collaboration with our customers, partners, and collaborators, is shaping a future where healthcare and life sciences seamlessly integrate to improve outcomes for patients grappling with oncology and rare diseases.

Reach out to us to discuss the benefits of AI/ML to transform patient lives in healthcare and life sciences. 🌟🚀

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