IPM Blog (2)

Utilizing Augmented Intelligence to Drive Optimal Decisions Throughout the Specialty and Rare Disease Product Lifecycle

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...

Building a Rare Disease Franchise with Machine Learning and Artificial Intelligence

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)...

7-Oct-2021
John Seaner

A New Reference Model for Clinical Study Recruitment

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...

January 7, 2021

W2O Acquires ML, AI and RWD Pioneers Swoop and IPM.ai to Fuel its New Health...

October 12, 2020

Using ML and AI to Infer HCP Specialties

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

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

May 19, 2020

IPM.ai in NY Times on Use of Hydroxychloroquine for Covid-19

April 27, 2020

When Will Patients Start Going Back to the Doctor?

April 24, 2020

Hydroxychloroquine Prescription Volume Changes During COVID-19

February 25, 2020

Artificial Intelligence Modeling Techniques to Uncover Patient Events

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

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

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

June 1, 2019

Machine Learning Times IPM.ai Interview

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...

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