Knowledge Center


Rapid evolution: How DCT’s DNA became standard in modern clinical trials
It’s impossible to deny how different clinical trials look almost four years after the pandemic revolutionized clinical research. Today, the digital and decentralized tools and technologies that enabled clinical trials to carry on through the COVID-19 pandemic are present (in some form) in nearly all clinical trials, a far cry from the dynamics of 2019.
Latest Blogs


You asked we answered: How do eCOAs improve data compliance?
We at Medable are often asked in webinars, requests for proposals (RFPs), tradeshows, etc. just how exactly eCOAs and ePROs foster better patient compliance with submitting data.
Since you asked, our answer is below, courtesy of Jessica Dolfi, VP of Solution Consulting.


Unlocking scalability in pharma with AI
What is the path to addressing the remaining 10,000 human diseases?
Almost two years ago, Medable CEO Michelle Longmire asked this question in a blog titled “Accelerating the path from possibility to proof in the development of new medicines.” Back then, she wrote that leveraging the most meaningful tools we had at the time would drive new synergies at the intersection of safety, science, and speed and enable a new era of drug development.
Today, our industry stands at the precipice of a new era in clinical research, marked by rapid advancements in technologies that society widely refers to as artificial intelligence and machine learning (AI and ML). While each of these technologies has existed for some time, recent advancements in their capabilities have brought them to the forefront of our industry.
In the future, AI and ML may prove to be the most important technologies of our time, as they have the potential to enable true scalability in pharma, as well as other business sectors.


Patient perspectives: The balancing act of trial participation
When we think about clinical trials, our minds often gravitate toward the scientific intricacies of these studies - the testing of new treatments, data analysis, and the quest for medical breakthroughs. However, it's essential to remember that behind every clinical trial, there's a patient, and often a caregiver, whose life is deeply impacted by this journey.
So, let’s consider this: the concept of "Participation-Life Balance" and how technology can enhance the design and workflow of clinical trials while acknowledging the holistic needs of patients and caregivers to work towards achieving this.
White papers, Case studies & reports


Medable’s Patient Caregiver Network improves post-seizure trial data
A pharmaceutical contract research organization (CRO) expressed concerns about the timing and availability of seizure diaries for patients enrolled in their rare disease study.
They wanted to understand when patients should be prompted to complete the diaries and how they could improve the process to better accommodate caregivers' and patients' needs to produce better trial data.

Medable platform speeds diabetes study startup by 50%
A top 10 pharmaceutical company approached Medable seeking support for their PhaseIII diabetes study in the highly competitive weight loss market. Their primary goal was toreduce the client’s average study build timelines from 16-20 weeks, down to just 8 weeks,a reduction of more than 50%.
See how Medable was able to meet the customer's goal with this case study.


Record-breaking enrollment achieved in weight-loss study
A top 10 pharmaceutical company approached Medable seeking support for their Phase III diabetes study. Their primary goal was to reduce the participant enrollment phase timeline to get the study underway as quickly as possible.
On-Demand Webinars


Amplifying Evidence with Unified Clinical Trial Data Collection
Join us for a discussion about how combining a unified clinical trial data collection platform with intelligent automation can revolutionize drug development and why the current status quo is no longer sufficient. With novel capabilities, the industry can now explore new possibilities, such as incorporating additional sensors to identify surrogate or alternative endpoints, rethinking adaptive trial designs, and quickly responding to emerging data.


Keeping up with ClinOps: Why and how to improve delivery
Medable is joined by Join GSK and Lightship for a panel discussion on how a trial platform as a service can enhance, expedite, and improve the day-to-day operations of clinical operations across the life cycle of a study.


Technology Overload: Addressing Site Challenges of Digital Trials
Katie madden, Digital & Process Optimization at GSK, joins Medable’s Andrew MacKinnon and Annie Hesslewood to discuss the importance of implementing a change management strategy coupled with a unified digital trial platform that streamlines eConsent, eCOA, sensors, and integration workflows into a single end-to-end experience.
Scientific Research

Assessing the financial value of decentralized clinical trials
Deployment of remote and virtual clinical trial methods and technologies, referred to collectively as decentralized clinical trials (DCTs), represents a profound shift in clinical trial practice. To our knowledge, a comprehensive assessment of the financial net benefits of DCTs has not been conducted

Development of a mobile health app (TOGETHERCare) to reduce cancer care partner burden: Product design study
Research looking at mobile apps and how they may provide a meaningful access point for all stakeholders for symptom management.
Guides


How AI and ML can transform clinical trial conduct
There’s little doubt that 2023 will be remembered as the breakout year for generative artificial intelligence (AI) and machine learning (ML) within both tech and pharma. Much like the surge in digital and decentralized trials in 2020, AI and ML have sparked a paradigm shift in what is possible in the development of drugs and treatments.
With the FDA’s recent publications providing a future framework, sponsors and CROs everywhere are researching how best to bolster drug development. With all these advancements happening at an unprecedented pace, we’re providing an overview of the uses of AI and ML in clinical conduct below.


Back to basics: What are wearables and how are they powering diversity and efficiency
Mobile health technology, like medical-grade wearabledevices, can transform patient monitoring by enabling the collection of newtypes of data and better accuracy of patient responses. This tech can increaseaccessibility of trials for patients and even increase diversity and reducepatient burden by removing geographical and travel barriers.
As a result of these myriad benefits, we’ve seen theincreasing inclusion and acceptance of wearable devices throughout clinicaltrials. Here, we’ll dive into the specifics of these helpful tools and theirimpact on the future of medicine.


Back to Basics: What is a decentralized clinical trial?
In a decentralized clinical trial, part or all of the protocol occurs away from the primary study site. Instead of patients traveling, often repeatedly, to a central site for enrollment, consent, data collection or symptom monitoring, they can participate in telehealth visits from their homes, often using familiar technologies, like smartphones, tablets and wearables to transmit pertinent information. Even medications and devices can increasingly be delivered directly to a patient’s home, and a home visit from a health care professional can be arranged if necessary.