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.
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.
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.