Leading the Way in Effective Drug Development
Predicting Medication Adherence in Stroke Clinical Trials May Boost Patient Retention
Enrollment recently completed in 20 clinical trials of stroke prevention and recovery therapeutics, according to data and analytics provider GlobalData. As challenging as it is to find participants for these studies, equally important is ensuring that every participant successfully completes the trial as designed.
How AI Can Help Reduce Attrition Rates in Randomized Controlled Trials
Patient attrition can be a major barrier to the successful execution of a randomized controlled trial (RCT). When patients drop out of a trial after enrollment or randomization, not only does it impact the results, but it also introduces delay and higher costs. Today, with the help of artificial intelligence (AI), clinical study managers have access to the data they need to proactively reduce attrition rates in RCTs.
Artificial Intelligence and Machine Learning Accelerate Rapidly in FDA Submissions
People working in clinical trials are sometimes criticized as late adopters of technology. However the reality is more complex. The Gartner 2019 CIO Agenda survey clearly outlined the biggest barriers to adoption of AI and machine learning (ML) as staff skills, understanding benefits and uses of AI/ML technologies, as well as data scope and quality.
Adherence Is Much More Than One Data Point
Knowing a patient achieved an above average medication adherence rate can be a promising sign. It can also be a deceptive one.
Parkinson’s Patient Advocate Sees Hope in Digital Biomarkers
Three years come to mind when patient advocate Cathy Molohan is discussing Parkinson's disease -- 1961, 2011, and 2020. The year 1961 is when Levodopa was first shown to have a "miraculous" effect in patients with Parkinson's disease (PD). Today, more than 6 decades later, Levodopa remains the most potent medication for PD.
Breaking the Cycle: How Achieving Consistency in Global Privacy Legislation Will Bolster Patient Trust
Patient privacy and trust are two of the most critical aspects of any clinical trial’s success – patients must understand and feel confident in the protocols designed to protect their sensitive health information. Because patient privacy is such an incredibly important issue, governments across states and countries have differing ideas on how to best protect it.