.svg){kind=icon}
In the media
PREDICTIVE INTELLIGENCE FOR LIFE SCIENCES
Go beyond understanding what happened to anticipating what could happen next
Drug development has never been more challenging. Timelines are longer, costs are rising and competition is intensifying. Yet many of the decisions that determine a program's success must be made long before the evidence is available.
IQVIA Life Science Models change that. By predicting how patients, clinical studies and markets are likely to respond, they help organizations explore possibilities earlier, understand trade-offs and make decisions with greater confidence. All built on healthcare-specific data and deep industry expertise guided by IQVIA Healthcare-grade AI® principles.
Make better decisions across the life sciences lifecycle
Explore Life Science Model use cases
Evaluate study scenarios before execution
Identify study designs with a higher probability of success and understand the impact on clinical outcomes before enrolling a single patient. Explore “what if” scenarios across patient populations, eligibility criteria, endpoints, comparators and treatment assumptions, to optimize strategies across portfolios, programs and studies.
The same predictive foundation carries into real world study simulation and patient digital twins, enabling more efficient studies.
Simulate individual patient outcomes
Digital Twins provide virtual representations of patients to estimate how they would respond under alternative treatment strategies. By generating synthetic control arms and counterfactual outcomes, digital twins can augment clinical trials, strengthen comparative evidence and support treatment effect estimation when traditional control groups are limited or unavailable.
The approach enables faster, more scalable evidence generation while reducing reliance on costly or difficult-to-enroll comparator cohorts.
De-risk protocol design and feasibility early on
Use patient-level simulation to pressure-test observational study designs and potential outcomes before protocol lock. Test study assumptions, evaluate different patient populations and endpoints, and identify opportunities to improve study design and generate stronger real-world evidence.
Iterating at concept minimizes the risk of amendments while informing country, site and data source selection ahead of commitment — allowing for expedited and optimized feasibility.
Maximize asset value across your portfolio
Patient-level Life Science Models help teams evaluate strategic choices across pipeline assets, launches and mature brands. Predict how changes to target populations, endpoints, comparators and treatment strategies could impact clinical evidence and realized TPP outcomes, enabling more informed development, access and portfolio decisions.
Built for the decisions life sciences organizations face
IQVIA Life Science Models combine healthcare-specific data, advanced technology and deep expertise to develop predictive models purpose-built for life sciences.
- Grounded in clinical, biomedical, real-world and commercial data
- Designed for life sciences prediction
- Supported by scientific and industry expertise
- Guided by IQVIA Healthcare-grade AI® principles
AI simulation for smarter obesity and cardiometabolic trials
In this pharmaphorum article, Raja Shankar and Magnus Ekelund explore how AI simulation can help de-risk obesity and cardiometabolic trials through smarter study planning and design.
Unlocking AI’s role in modern clinical trials
In this Contract Pharma article, Raja Shankar explores how AI-powered simulation can help clinical teams optimize trial design, evaluate tradeoffs earlier and improve development decisions before studies begin.DEMO
See predictive intelligence in action
Design better trials and accelerate the path from discovery to patient impact with insights from IQVIA Life Science Models.
Explore More
You may also be interested in