Companies that successfully use AI are those that understand technology magnifies accountability. Anyone that fails to internalize that lesson could find themselves defending the very systems they relied on to bring those products to market.
- How Clinical Trial Sites Must Adapt To The Predictive Analytics Era
- Why Patients Drop Out And How To Stop Them
- Predictive Analytics Is Reshaping How Sponsors Run Clinical Trials
- AI In Clinical Trials: Real Impact, Real Limits, What's Next
- RWD Helps Researchers Include More Patients In Lymphoma Research
- RWE Is Ready — Decision Making For Pharmaceuticals Isn't
- Building A Future-Proof, GxP-Compliant IT Infrastructure
- Unlocking Biopharma Innovation With Real-World Evidence
ARTICLES, APP NOTES, CASE STUDIES, & WHITE PAPERS
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Accelerating CRO Study Deployment At Scale
A top-3 CRO and a top-10 pharmaceutical company partnered with Medable to help accelerate, scale, and standardize their eCOA trials. See how they accomplished it.
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Optimizing Integrated Registries
Integrated registries are vital to understanding disease progression, but effective integration requires a combination of data science, technical expertise, and IT architecture supporting real-world evidence generation.
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How Long Is Your RTSM Risk Mitigation List?
While RTSM systems help reduce many of the risks in clinical trials, each trial’s unique setup necessitates a risk analysis to identify trial-specific challenges.
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Trial Tokenization To Understand The Long Term Effectiveness Of A New COVID-19 Vaccine
In this case study, learn why a client needed to connect to real world date sources in order to identify potential sources of data that would enable observation of COVID-19 infection rates .
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A New Take On The Evolving Role Of AI In Clinical Trials
Artificial intelligence is shifting from promise to practice in biopharma. Zhong Lu, director of data science and AI at Novartis, outlines how AI is evolving the clinical trials process end-to-end.
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Mitigating The Risks Of Long-Term Oncology eCOA Clinical Trials
This article digs into the specific complexities of long oncology clinical trials and describes relevant solutions to manage the risks regarding patient compliance, clinical project teams, and clinical sites.
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With The Emergence Of DCTs, Do We Really Need A CTMS?
As decentralized trial designs continue to grow in popularity, do sponsors and CROs really need a clinical trial management system? Explore whether CTMS is necessary with the emergence of DCTs.
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eCOA Evolution: Have We Overcomplicated It?
eCOA has evolved from simple data collection to complex patient engagement platforms, raising concerns about added complexity. Explore innovative tools aimed at simplifying this complexity.
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Customizing EDC Workflows For Specialty Pharma, Rare Disease Trials
Rare disease and specialty pharma trials demand a level of flexibility with electronic data capture systems that can adapt dynamically without sacrificing data integrity.
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Suvoda Products
Suvoda Products Listing.
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