Life sciences and healthcare companies that set out to pioneer treatments in rare and specialty disease face a unique set of challenges. Typical pitfalls for advancing an indication in this space...

Nitin Choudhary, Managing Principal of IPM.ai and Richard Wilson, Rare Disease Franchise Head for Kyowa Kirin recently spoke on overcoming patient-finding challenges through machine learning (ML)...

Conventional clinical study recruitment methods for rare diseases simply don’t work. Analyzing ICD-10 and prescription data to determine patient clusters, site selection and feasibility is...

October 14, 2021

Utilizing Augmented Intelligence to Drive Optimal Decisions Throughout the...

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Life sciences and healthcare companies that set out to pioneer treatments in rare and specialty disease face a unique set of challenges. Typical pitfalls for advancing an indication in this space...

August 9, 2021

IPM.ai's Clinical Trial Recruitment Solution Featured in MM&M

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Allison Rhee of MM&M reports on IPM.ai's answer to patient finding for rare and specialty diseases through advanced AI/ML. Read the full text below:

August 6, 2021

Kyowa Kirin Uses AI/ML to Uncover Undiagnosed Patients

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The rare disease patient journey can be arduous. Many patients experience multiple misdiagnoses or go undiagnosed before finally figuring out their true health issue and receiving treatment. For...

April 21, 2021

Using Non-Traditional Data to Unlock Disease Insights & Improve Outcomes

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Though it’s not often discussed, often the most difficult aspect of bringing a drug to market is finding the right patient population. This is especially true with rare diseases, where patients...