Learn how to develop and market products and interventions that actually meet individuals' needs by incorporating patient input exist throughout the trial lifecycle
Teams need to keep close track of ingredients, processing parameters, and material performance so that they can use their R&D data to decide exactly which materials to make next.
Recent updates from regulatory bodies are providing more confidence in integrating different forms of trials and technology.
Examining the behaviors of clinical trial stakeholders to better understand challenges in patient participation.
Approaching protocol design and operational planning with patient empathy.
Eliminating barriers to engage underrepresented populations.
January 2023 guidance from FDA on dosages in oncology provides further context on expectations with Project Optimus.
Insights from Bayer’s study review process showcases importance of incorporating feedback from a wider audience of stakeholders.
A study exploring healthcare preference and experience in this population group uncovers new insights and opportunities related to clinical research participation.
Presenting how data transformation is measured as part of the SAFE Data Standard, which data variables influence the rating and, how the appropriate level of data transformation is calculated.
Chairman and Founder of MJH Life Sciences, Mike Hennessy Sr. explores the main discussion points covered in the June issue of ACT.
Recognizing pre-pandemic pain points, such as patient engagement and protocol development, could lead to post-pandemic trial success.
In the rare disease issue of New Medicines, Novel Insights from Parexel, experts and former regulators share insights for developing effective regulatory strategies earlier.
Keys to ensuring your clinical trials better reflect your target population.
Cost strategies for medical device trials in the new era of digital health.
Webinar Date/Time: Thursday, May 25th, 2023 at 11am EDT | 8am PDT | 4pm BST | 5pm CEST
Identifying the ‘significant six’ areas of clinical study conduct to mitigate risk.
What does the industry have to lose in pursuing a more straightforward path?
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.
Increased data output from the use of devices can accelerate trials for this therapeutic area in need of new therapies.
Practical suggestions for identifying what actionable insights have been impactful on clinical studies.
These devices can help researchers identify data points that are not immediately available to researchers.
Characterizing the long-term adoption experience of clinical technologies and capabilities—and what senior leaders can do to drive adoption within their walls.
A three-part framework for a more comprehensive conceptual model of patient experience data can provide a more rounded understanding of patient experiences in clinical trials and beyond.
Analysis of 330,000 clinical trials calls for improved protocol design process.