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Reading Time: 5 minutesIt’s no exaggeration to say that artificial intelligence (AI) is revolutionizing life sciences, delivering insights and efficiencies across the clinical research process that we once only dreamed of. But comprehending the tru...
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Reading Time: 8 minutesLife sciences leaders have been grappling with the same concerns for years without adequate solutions: Why do we still treat drug discovery, clinical development, and manufacturing as separate worlds? What would it take to ac...
Reading Time: 4 minutesAI in clinical trials isn’t a future bet anymore. It’s an operational reality. The 2nd Annual State of AI in Clinical Trials survey, conducted with Everest Group across senior clinical operations leaders in pharma, biotech, a...
Reading Time: 3 minutesIndustries everywhere are waking up to the transformative power of artificial intelligence (AI). But in the life sciences sector—and specifically for clinical data managers—AI is more than a technological trend; it’s the nece...
Reading Time: 4 minutesArtificial intelligence (AI) comes up in nearly every conversation now, often with the same idea that it will fundamentally change how studies are run. That may be true. But in a field like clinical trials, change rarely happ...
Reading Time: 4 minutesWe’re living through a golden age of life sciences discovery. Fueled by the convergence of AI, multiomics, and cloud-native automation, candidate molecules are being accelerated from in silico design to first-in-human studies...
Reading Time: 4 minutesEverest Group’s new report takes a deep dive into 18 leading clinical AI providers to assess their progress in developing partnerships and solutions that deliver tangible results....
Reading Time: 5 minutesNEXT New York made one thing clear: the era of AI experimentation is over. Clinical leaders aren't just seeking AI features; they're looking to scale and drive ROI....
Reading Time: 4 minutesThis blog post was authored by Karen Wood, Director, Patient Insights Programs at Medidata. Every day, I wake up knowing the software we build could mean the difference between months and years before a breakthrough treatment...
Reading Time: 4 minutesThe harsh reality of drug and device development is that the majority of new therapies never make it to market. Less than one in ten investigational products in non-oncology successfully navigate Phase I through regulatory ap...
Reading Time: 4 minutesIn an industry used to working in silos, true progress requires a unified approach that brings sponsors, sites, and patients to the same table. This spirit of collaboration defined Medidata’s recent Patient x Site Insights Su...
Reading Time: 3 minutesThe increasing complexity of clinical trials makes AI’s potential more critical than ever. And yet, most organizations see its value confined to initial pilot projects and struggle to scale across the enterprise. The life sc...
Reading Time: 4 minutesThe success of clinical trials increasingly depends on the technology that powers them. The clinical trial management system, or CTMS, is at the heart of clinical trial technology. Whether you’re part of a pharmaceutical comp...
Reading Time: 5 minutesWelcome to the Clinical Minds “Innovator Insights Corner,” where we’ll be sharing fascinating stories, perspectives, and predictions from the guests of ‘from Dreamers to Disruptors’, a podcast by Medidata exploring life scien...
Reading Time: 3 minutesIn contemporary clinical trials that use electronic clinical outcome assessments (eCOA), the traditional paper-based informed consent process can be inconsistent with modern digital standards....
Reading Time: 5 minutesClinical trial planning is notably complex and requires careful consideration of all the operational, clinical, and social factors needed for optimizing resource allocation, improving efficiency, and achieving enrollment targ...
Reading Time: 4 minutesThose who invest now in embedding adaptive, workflow-driven AI can accelerate clinical trial timelines, reduce risk, and deliver stronger outcomes....
Reading Time: 4 minutesThe pharmaceutical industry is positioned to undergo a significant transformation with the rise of software-enhanced (SE) drugs. This innovative approach is not only revolutionizing patient care but also opening new pipelines...
Reading Time: 5 minutesComplexity is synonymous with clinical research. But the word ‘complex’ has never been more appropriate than it is now as the industry leaps forward with transformative advancements in research methodologies, centralized fram...
Reading Time: 5 minutesWelcome to the Clinical Minds “Innovator Insights Corner,” where we’ll be sharing fascinating stories, perspectives, and predictions from the guests of ‘from Dreamers to Disruptors’, a podcast by Medidata exploring life scien...
Reading Time: 5 minutesSites are the core of every clinical trial. But in today’s environment with limited resources and increasingly complex protocols, they need stronger partnerships and better support. This doesn’t mean inundating site staff wit...
Reading Time: 2 minutesImaging plays a pivotal role in oncology clinical trials. It’s essential for evaluating tumor burden, assessing treatment response, and tracking disease progression. But traditionally, imaging workflows have been manual, vari...
Reading Time: 5 minutesArtificial intelligence is reshaping the design, planning, and execution of clinical trials. New efficiencies, capabilities. and opportunities are emerging everywhere: from early study design to data collection, trial operati...
Reading Time: 3 minutesManaging essential trial documentation efficiently and compliantly is paramount in the fast-evolving world of clinical research. The electronic trial master file (eTMF) has emerged as a transformative solution, revolutionizin...
Reading Time: 3 minutesElectronic data capture (EDC) systems have long been used to collect, clean, transfer, and process clinical data. But despite the widespread adoption of electronic health record’s (EHRs) in the healthcare system, their implem...
The two technology systems that have become crucial for the conduct of a clinical trial fall under the umbrella term Randomization and Trial supply management (RTSM)....
Reading Time: 5 minutesAdopting a modern approach to the audit trail review (ATR) process is more important than ever. Continue reading to learn why audit trails are important, explore several use cases, and discover how generative AI can be instru...
Reading Time: 5 minutesClinical trial sponsors are navigating a shifting landscape; NIH funding cuts are fueling site staff shortages, and FDA resource reductions are risking slower regulatory reviews. At the same time, evolving reimbursement frame...
Reading Time: 2 minutesGenerative (gen) AI is transforming industries, reshaping how organizations operate and how people work. While this technology brings immense opportunities, it also presents challenges that demand thoughtful exploration. Its ...
Reading Time: 2 minutesThe potential that generative AI may have on nearly all industries is exciting. Though, like any new technological advancement, there are both challenges and opportunities to understand. For the life sciences industry, the st...
Reading Time: 4 minutesModern clinical trials are accelerating towards increased complexity, with their expanding array of digitized source data coming from a wider variety of sources, decentralized clinical trials (DCT), and adaptive designs. Arti...
Reading Time: 2 minutesThe benefits of implementing AI into the clinical trial process are promising—potentially mitigating prevalent concerns surrounding data privacy and protection. In traditional clinical trial settings, companies are understand...
Reading Time: 5 minutesArtificial intelligence (AI) has become quite the buzzword over the past couple of years, and for good reason. We’ve seen significant advances both in how compelling AI can be – from writing a bedtime story to composing a twe...
Reading Time: 4 minutesThis blog was authored by Freddy Mendieta, Director, Product Management, Coder/Coder+/Safety Gateway at Medidata. Life sciences companies are seeking ways to harness new technologies like AI/ML. There’s a mix of emotions rang...
Reading Time: 6 minutesMedidata would like to thank attendees who participated in the 3rd annual Optimizing Your Endpoint Adjudication Process Today and Beyond virtual experience. This event brought together industry leaders and colleagues to discu...
Reading Time: 2 minutesWhen recruiting patients and running a clinical trial, it’s ideal to enroll patients that represent the broader population to the closest extent possible. But this is not always feasible. Recruiting any patient to a clinical ...
Reading Time: 7 minutesDiscover how AI transforms clinical data management by automating processes like medical coding and data reconciliation - enhancing efficiency and data integrity....
Reading Time: 3 minutesAI is a technology solution that addresses real and potentially crippling clinical trial challenges. It’s also unusual in that it stands apart from other technologies due to the mystique surrounding it. This may stem from pre...
Reading Time: 2 minutesThis blog was authored by Bryant Fields, VP, Integrated Evidence at Medidata. The theme of the 2024 ASCO® meeting in Chicago was “The Art and Science of Cancer Care: From Comfort to Cure.” One could interpret this as the way ...
Reading Time: 4 minutesIf asked about the origins of artificial intelligence (AI), what comes to mind? For many, sentient robots or non-human entities from science fiction books and films are the embodiment of AI. Think of Maria in Metropolis (1927...
Reading Time: 3 minutesIn collaboration with Bristol Myers Squibb, Medidata AI presented a research poster, “Association between treatment (tx) response and PFS and OS in R/R chronic lymphocytic leukemia (CLL) or small lymphocytic lymphoma (SLL): a...