Aardvark released exploratory data from its stopped Phase 3 HERO trial in Prader-Willi syndrome after FDA lifted the hold, and plans a redesigned Phase 3.
|Articles|October 6, 2017
Launch of Next-Generation Clinical Trial Data Platform
Advertisement
Rutland, MA, Oct. 5, 2017- A brand new clinical trial database and collaborative platform was launched on October 3, with the aim of being the leading source for every clinical trial data need.
The revolutionary website offers several features previously unavailable, including:
· Crowdsourced trial predictions.
· Data visualizations of clinical trial data.
· Trial events and results.
· Personalized watchlists.
· Access to biotech gurus.
· Trial-centric discussions.
The site’s sleek modern design showcases all of the data available on clinicaltrials.gov, but with more accessibility and ease of use.
The site was founded by Tim Burr, a tech entrepreneur and biotech investor. After much time toiling on clinicaltrials.gov, he knew there was a problem that needed solving. Tim says, ''we wanted to create a platform to ease the tedium and information overload users face when analyzing and sorting through clinical trial data. Given its importance, clinical trial data needs to be ultra-accessible for anyone that needs it.''
What to expect:
People who need to access clinical trial information have been asking for a tool to simplify the monitoring and analyzation of clinical trial data, and Primary Endpoints wants to be the answer. With Primary Endpoints:
· Trial tracking is made easy with customized visual timelines.
· Trial outcomes are predicted by biotech experts.
· Customized notifications of trial updates ensure you are among the first to know.
· Communication with biotech experts and gurus is made easy.
· Join discussion boards and engage with clinical and investing experts.
Be among the first.
Don't miss the opportunity to be among the first to discover this next generation platform for clinical trial data. Visit
Contact:
Product Manager: Bhavana Singh
Scopic Software 12 Carly Circle Rutland MA 01543 US Phone: (855) 717-5586 (toll free)
Email: marketing@primaryendpoints.com
Advertisement
Related to this article
Clinical trials capture data faster than ever, but the real bottleneck is the distance between data capture and a decision teams can trust.
In today’s ACT Brief, we examine why the future of AI in trials is a trusted orchestration system rather than a single model, how coordinators rate eSource-enabled workflows, and what a bipartisan bill proposes for reusable trial networks.
The Faster Clinical Trials Act would create an FDA Center for Clinical Trial Innovation and aims to cut trial costs and enrollment time by at least 30%.
Standardized measurement across five oncology centers found that clinical research coordinators rated eSource-enabled workflows positively (Overall Mean Satisfaction 5.79 of 7), with reduced manual entry and electronic data transfer earning strong marks, while perceived reduction in sponsor and monitor queries lagged as the one domain below threshold.
In this video interview, Rajneesh Patil, global head of AI, digital, and innovation in clinical development at Syneos Health, describes the industry’s trajectory toward a unified intelligence orchestration environment—and explains why the future isn’t one model that knows everything, but a trusted system that brings the right evidence to the right human decision.
In today’s ACT Brief, we examine how sites can avoid both fear-driven and overly aggressive AI adoption, why community-based research needs sustained financial investment, and why patient access matters more than organizational size.
Pacing obesity trial enrollment, anchoring eligibility to stable real-world therapies, and building site and physician relationships improve retention and data quality more than aggressive recruitment or restrictive exclusion criteria do.
Advertisement
Advertisement
Trending on Applied Clinical Trials Online
1
Where the Industry Is Headed as Clinical, Operational, and Real-World Data Connect
2
Clinical Trials Do Not Have a Data Problem, They Have a Decision-Readiness Problem
3
ACT Brief: Orchestrated AI Clinical Environments, eSource Coordinator Satisfaction, and Faster Clinical Trials Act
4
Building Standardized Evidence for eSource-Enabled Clinical Trials: Multi-Site Validation of a Clinical Research Coordinator Satisfaction Methodology
5