Learn how patient-centric, clinically relevant measurements and advanced analytics provide better context for data interpretation. Severson, a human-computer interaction expert for leading pharmaceutical, government, and research institutions, details how to unlock the value of passive data collection by tying the rich, voluminous patient data from mobile sensors and wearables to active mobile measurements.  Learn how to develop digital biomarkers from voice data collection and processing, multimodal signal processing, and feature engineering. 

Join Robert Sala, Director of External Research and CRO Integration at Dexcom, and Michael Brown, Executive VP of Global Commercial Operations at Woodley Trial Solutions. We discuss the significance of real-time data collection from a world-leading wearable CGM device innovation, and how this is utilized in hybrid clinical trials. We'll also make time for a Q&A session, so please don't miss your chance to ask your burning questions to the experts.

This session will address how new ML-enabled digital health technologies and remote monitoring advancements can complement ePRO and decentralized clinical trials to transform development.

We’ll discuss how digital audio and video evidence generated in clinical trials is being used to provide quantitative and qualitative data to evaluate the efficacy of novel treatments for patients.

Mobile health has a significant impact on patient retention and experience in clinical trials. However,it’s still under-utilized as there is a perception that more complex assessments and procedures cannot be conducted effectively in the home. This case study highlights how mdgroup worked with a client to implement complex sample collections in the homes of patients suffering from a rare disease, resulting in reduced travel burden and low dropout rates.

We would like to invite you to join us for an informative event about overcoming obstacles in recruiting patients for BioPharma clinical trials. During this event, we will delve into barriers such as lack of awareness and financial considerations that can impede clinical trial recruitment success. Additionally, impactful strategies to increase clinical trial participation and recruitment success will be shared.

Many innovative approaches for remote symptom monitoring of patients have recently emerged to optimize the metrics captured in decentralized clinical trials. One of these techniques is deploying high frequency active assessments to enhance the contextual insight of measures captured via passive physiological sensors. Combining active and passive data capture allows for a more comprehensive characterization of patients’ fluctuating symptoms and thereby provides a higher fidelity to detect therapeutic interventions. 

For decades, clinical research has been mostly centered on an "entered data" orientation. As clinical research becomes more remote and more digital, the challenges to collect this sort of data faithfully and responsibly has far exceeded our conventional capabilities. ProofPilot is proud to present a case study along with best practices on what it takes to efficiently deploy devices, connect them, send digital data, and return them.

Our industry is challenged to find the right resources to drive operational best practice. There is also an expectation to move at the “speed of Covid” for every trial. It feels like an either/or.

However, you can have both. You can accelerate timelines with fewer resources.

Join this exciting session to learn about:

• The biggest time and resource drains on clinical trials

• Applying AI/ML to improve efficiency

• Challenging your own internal processes to get to market faster

Access to clinical trials is a human right and participation should be easy yet lack of diverse patient populations and high drop-out rates remain persistent challenges for sponsors alike. In this discussion, Mohammed Ali will share how Medable is dramatically broadening the reach of research to increase trial diversity while easing patient and site burden through the use of Patient-first digital trial tools designed to improve engagement, retention and data quality.

The ability to tokenize patients in clinical trials and leverage data from multiple data sources, gives sponsors and payers an expanded view of patients treated with an investigational product.  It will also deliver valuable insights into long-term safety and effectiveness that can support regulatory and reimbursement discussions as a drug moves towards commercialization.  So, what do you need to know when considering a Clinical Trial Tokenization solution?