Gabi Hanna, MD highlights the need for an effective therapy for acute pancreatitis.
With an increasing amount of diverse data that must now be collected and analyzed, the industry is faced with increasingly complex studies that present new challenges in data management.
Study seeks to understand how different forms of data meet the needs of researchers.
Webinar Date/Time: Wed, Oct 30, 2024 11:00 AM EDT
Findings from the most recent Biopharma Confidence Index show that the pandemic has substantially influenced biopharma executives’ expectations in key areas like artificial intelligence/machine learning and real-world evidence.
Explore how natural language processing and social graph techniques help to tackle the challenge of patient and investigator recruitment and raise the success rate of clinical trials.
Patient-first trial design, based around the tenets of adaptability and personalization, has emerged as a key solution to increase diversity and improve trial outcomes for all.
Changing the expectations of the feasibility study can improve the process.
Hidden costs have industry searching for ways to not only identify quality issues, but completely eliminate them from the start.
Developing a strategic approach for labs that can identify and tackle global health challenges.
A representative sample patient population that accurately reflects the overall population is vital to establish the safety and efficacy of a drug.
Identifying areas of burden and steps supply chain operators can take to alleviate them.
Industry must take steps in preserving data for use after the war.
Identifying the ‘significant six’ areas of clinical study conduct to mitigate risk.
For antibody drug conjugates to reach their full potential, developers should focus on addressing current challenges such as safety and efficacy.
Recent research is showing medical treatment for pregnant women often relies on clinical data from non-pregnant female patient populations.
Fully-integrated, component-based CDMS offers flexibility, customization, and efficiency.
Outlining the five critical hurdles faced by clinical teams conducting studies in these nations amid quarantine and other restrictions.
The many different shapes and sizes of vendors requires a thoughtful process for selection.
Explore how natural language processing and social graph techniques help to tackle the challenge of patient and investigator recruitment and raise the success rate of clinical trials.
Laboratory services organization focuses on easing patient and site burden with improved collection device.
Amid CVS’ surprise exit from the clinical research space and the ensuing broader questions, study investigates the benefits of pharmacy chain involvement—along with the concerns and barriers to adoption.
Growing availability of RWD leads new drug development process.
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.