Emerging technologies like digital twins offer supply chain efficiency solutions, allowing the industry to integrate sustainable practices while ensuring patient safety.
Overcoming hurdles with licensing complexities, post-production changes, and IRB submissions can help in reducing timelines and increasing collaboration.
What the next generation medication management in clinical trials should entail and insights on smart technologies and synergistic partnerships—backed by real-life implementation use cases.
Five strategies to reduce risk and achieve deadlines.
While Case Report Forms are a main contributor to collected data, non-CRF data such as core laboratory data and central imaging can be critical to any clinical study.
Industry challenges present an opportunity for innovation and the adoption of new solutions, particularly in addressing barriers related to patient recruitment, engagement, and retention.
The FDA has taken a clear position with Project Optimus in shifting toward more progressive tailored approaches while rejecting antiquated study designs to evolve clinical trial strategies to better align with newer drug classes.
Today’s clinical studies are increasingly complex and require patient-centric trial designs, like decentralized trials, more than ever before. As trials incorporate more decentralized components there is an ever-present need for multiple system integrations to support the various trial functions, with the goal being that all trial data flows seamlessly between systems and is stored in one repository for efficient oversight and analysis. These numerous integrated systems require closely managed integration, synchronization, and supportive partnerships to minimize error and maximize efficiency. In this case study, partners endpoint and THREAD dig-in to explore how IRT can be integrated with decentralized clinical trial (DCT) technology, working through tightly integrated workflows, to provide a streamlined process, a better user experience for Sites and Participants, higher quality data and real-time access to information.
Following a discussion around summarization in Part 1, Part 2 discusses the method of pure abstraction in light of recent advances in deep learning and AI.
Though the fields of immunotherapy and cell and gene therapies have seen significant growth since April 2012, CGT clinical research remains a challenge.
Using surveys to collect various viewpoints on eConsent from ethics, sponsors, and vendors.
Findings from Florence Healthcare’s State of Clinical Trial Technology Industry survey about how clinical operations technology changed in 2020 and how they expected it to evolve throughout this year.
DCTs, data, and analytics are all areas that could be impacted in the near future.
Companies share their experience in future-proofing clinical data technology.
The era of big pharma as product-first companies must end, as services become the larger priority.
While underreported, ADR data offers significant value to the drug development value chain to refine the predictive capability and stability, and provide enhanced patient safety.
By decentralizing trials whenever feasible, sites can decrease patient burden, clinops workload, and the number of on-site participants.
Evidence from a Phase III cancer trial points to notable advances in data-transfer tech.
Artificial intelligence may find a home in clinical trials and manufacturing in the coming years, but privacy, cyber security, and determining who owns the intellectual properties could pose challenges.
A top-down analysis of the decentralized trial model’s benefits and impact on the industry.
Promising scientific advances are pacing oncology drug development.
The adaptability and innovative capacity of CROs highlighted in EUCROF survey.
Harnessing advances in digital health technologies for a more precision-measured approach.
Growing availability of RWD leads new drug development process.
Webinar Date/Time: Tue, Tue, Nov 28, 2023 11:00 AM EST
Findings from a Tufts study examining the effects of COVID-19 on clinical trials.
The FDA's guidance is part of a broader effort to modernize clinical trials, improve efficiency, reduce participant burden, and expand access, particularly for underrepresented populations and those in geographically or economically constrained areas.
How clinical operations teams can close the gap between controlled trial results and real-world adoption by generating evidence in broader, more representative patient populations.