Leading the Way in Effective Drug Development
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.
Understanding and Predicting Medication Adherence in Clinical Trials
Clinical trials often suffer from unplanned loss of statistical power due to low medication adherence. Non-adherence can range from failing to take a pill at a specified time to deliberately skipping the investigational therapy or even feigning pill ingestion (sometimes common in underlying conditions like Schizophrenia).
Driving Data-driven Medicine to Advance Personalized Care
Clinical trials are often designed with the participant’s everyday life in mind – trying to gather as much clinically-relevant data in a controlled manner as possible while allowing individuals to live their regular lives. However, it is true that trials are artificial environments, and participants are actively monitored to ensure their safety and to determine the efficacy of a drug in development.
Bridging Clinical Research to Real-World Patient Care Through Predictive Analytics
The ability to predict how a clinical trial participant will adhere to their treatment, and even respond to that treatment, has great promise to advance patient-centric clinical research. But, as we look to understand the impact a drug has on patients’ everyday health outside of a research environment, what happens to these unique, predictive findings around dosing and outcomes once a drug enters the real-world?
From Predicting Adherence to Health Outcomes – The Power of Predictive Insights
Clinical researchers have begun adopting predictive analytics to anticipate a patient’s engagement in a clinical trial, including if and how a patient will adhere to their treatment plan. As these models are fed more patient-level audio and visual data, they have the potential to open up a whole new world of a patient’s lived experience – from how a patient will respond to their medication, to the likelihood of developing side effects, to the broader trajectory of their disease.