Independent review of trial event assessments by adjudication experts.
Proven expertise in delivering high-quality imaging data at a global scale.
With strengths in instrument engineering, signal processing, and pharmaceutical R&D, Perceptive Discovery consistently delivers successful imaging study designs and executions.
Effective RTSM, built on 30 years of experience, and connected to an ecosystem which includes eConsent and eCOA.
Highly established imaging centers for first-in-human and multicenter trials.
900+ agents radiolabeled and counting.
Supporting both malignant and non-malignant indications.
Experts in Alzheimer’s Disease, Parkinson’s Disease imaging and more.
Supporting over 85% of radiopharmaceutical companies.
Optimize preclinical and clinical trials in other areas and drug classifications.
Therapeutic and technical expertise in imaging modalities, protocol design, and acquisition.
Oncology imaging, RTSM, and clinical adjudication services.
Tackling unique rare disease trial supply, imaging and adjudication challenges.
Body composition imaging expertise you can rely on.
We are here to serve science.
From discovery, through early to late-phase clinical development, to regulatory approval and post-market, you can count on Perceptive to be dependable, diligent, and driven in everything we do.
Perceptive Discovery bridges preclinical insights to early clinical success, ensuring rigorous scientific analysis and high-quality data to support innovation.
Providing the right-fit randomization & trial supply management solution for your trials, delivered by experts.
The right people, experience, and technology to drive clinical trial imaging success.
At Perceptive, we see ourselves as thought leaders in advanced eClinical adoption for research, and we see AI and ML as key players in where things are headed. As you work on the next wave of breakthroughs, you can lean on our team for focused support and real-world expertise in AI and ML.
We recently undertook a survey across 110 industry professionals to understand their thoughts on the benefits and challenges of using Artificial Intelligence and Machine Learning in clinical research.
For more information on how AI and ML are predicted to move across the clinical trial space read our infographic on the link below.
