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 12, 2020

Using ML and AI to Infer HCP Specialties

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Specialty Physician Identification: Your Best Targets Could Be Hiding In Plain Sight and You May Be Missing Them

October 11, 2020

Swoop Partners With IPM.ai for Pharmaceutical Ad Optimization

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Real World Data and Social Determinants of Health can now be used for precision cross-channel pharmaceutical marketing campaigns

February 25, 2020

Artificial Intelligence Modeling Techniques to Uncover Patient Events

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High Noise Healthcare Data Environments Are a Prime Candidate for Advanced Technologies

February 21, 2020

IPM.ai Empowers Pharmaceutical Brands to Find Their Ideal Patients

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Machine Learning and Artificial Intelligence Empowers life sciences companies to identify, engage and activate patients who could benefit from new therapies and modalities of careCAMBRIDGE, MA. –...

January 20, 2020

IPM.ai Expands Health Data Coverage to Over 300 Million Patients

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Real world data sources further enhances the commercial value and scale of patient-centered analytics

June 1, 2019

Machine Learning Times IPM.ai Interview

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In anticipation of their upcoming conference presentation at Predictive Analytics World for Healthcare Las Vegas, June 16-20, 2019, we asked Steve Lamb, Principal at IPM.ai and Dan Fisher, VP Life...