Medidata Solutions’ Post

This started three years ago with the question, “You know something about consensus projects, right?” I did, but I know a whole lot more about them now! And, hopefully, so will the rest of the healthcare research community as we aim to get the ACCurate COnsensus Reporting Document (ACCORD) in use. For anyone who is working on a consensus project, do check it out: it’s the first reporting guideline for consensus-based studies, which supports transparency in designing and reporting these projects so that readers can better assess their quality. It has been a pleasure to work with Niall, William, Patricia, Esther, Paul, Amy, David, Chris, Keith and Pali on this, as well as Zbys on the associated systematic review (check the comments for link) – thank you all for sharing your time, knowledge and expertise so generously. Clearly, the evolution of this is to accelerate the process with AI – go on, convince me I’m wrong in the comments 😉 #consensus #delphi #reporting #guideline #accord

"Bow Tie Brian" discusses the future of clinical trial research at #Onsemble  🎀 At the event, Jared S. Taylor had the privilege of interviewing from Brian Sevier, COO at Yale School of Medicine. Here are three key takeaways from our discussion on the future of clinical research: • 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝗞𝗲𝘆: Brian emphasized the importance of collaboration within the academic and medical community. By sharing knowledge and experiences, we can overcome common challenges more efficiently and innovate faster. • 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗮𝘀 𝗮 𝗖𝗮𝘁𝗮𝗹𝘆𝘀𝘁: At Yale, the integration of cutting-edge technologies like large language models and data warehousing is revolutionizing clinical research. These tools are enhancing the speed and accuracy of studies, pushing healthcare innovation forward. • 𝗢𝗽𝘁𝗶𝗺𝗶𝘀𝘁𝗶𝗰 𝗙𝘂𝘁𝘂𝗿𝗲: Looking ahead, the potential of AI and automation in clinical research is immense. These technologies promise to refine research processes, making them more efficient and allowing researchers to focus on breakthroughs. 🔗 https://lnkd.in/eF7D8yCA #clinicalresearch #Advarra   

I’m happy to announce that the paper authored by my colleagues and me "NEAR: An innovative artificial intelligence-based method to compress complex models into explainable, model-agnostic and reduced decision support systems with application to healthcare" has been published in Elsevier’s Artificial Intelligence in Medicine! The project originated within the Alta Scuola Politecnica programme, involving Andrea Cavallo, Davide Fassino, Andrea Mario Vergani and myself as part of the YouForAll team. It received support from Dedalus and was supervised by Emanuele Della Valle, Marco Deriu and Michela Sperti. If you are curious about #artificialintelligence and #machinelearning in #healthcare, you can find the full paper here:

From pharmaceutical research to predictive analytics to virtual mental health therapy, artificial intelligence is helping healthcare providers and patients. Learn more about how AI is making an impact on, if not radically transforming, healthcare, as well as how Michigan Tech College of Computing's graduate programs can help you keep pace with these changes and challenges. https://lnkd.in/gM9ePUie

Sharing my thoughts on the incredible potential that GPT-4 brings to the healthcare industry. Adaptability to Diverse Datasets: One of the standout features of GPT-4 is its ability to adapt to diverse datasets. GPT-4 can be trained on many medical datasets - from electronic health records to medical imaging. This means it can understand complex health stuff in lots of ways. Fine-tuning for Specific Models: GPT-4 can be altered to specific models and unique challenges within different branches of healthcare - oncology, neurology, or cardiology. This will allow healthcare professionals to use GPT-4 as a specialised tool to make informed decisions, leading to improved patient outcomes. Global Impact: GPT-4 is learning from all global datasets. This technology has the potential to bridge gaps in healthcare accessibility and bring cutting-edge advancements to regions that need it most. However, Making GPT-4 work in healthcare will be a team effort. The successful integration of GPT-4 in healthcare relies on collaboration between technologists, healthcare professionals, and policymakers. There are also ethical considerations to consider when it comes to GPT-4. Despite the scepticism, I am very optimistic about the transformative power of GPT-4 in healthcare. With the right collaboration, it will surely unlock new dimensions of innovation and ultimately improve health outcomes for people worldwide. #HealthTech #GPT4 #AIinHealthcare #Innovation #FutureOfHealthcare

1. Yale New Haven Health and School of Medicine held an online town hall meeting to discuss progress and future plans focused on strategic alignment. 2. Key initiatives include using Artificial Intelligence (AI) to enhance healthcare delivery, improve patient access through the “Access 365” program, and implement a Joint Clinical Strategic Plan 3. AI is being utilized in various departments for predicting patient outcomes, selecting therapies, and automating documentation, aiming to improve clinical care and operational efficiency 4. The Joint Clinical Strategic Plan aims to establish Yale New Haven Health as a premier academic healthcare destination, focusing on integrated service lines and attracting top-tier healthcare professionals 5. The strategy includes geographical expansion into areas with higher patient density and strategic investments in technology, infrastructure, and staffing. 6. The Access 365 initiative seeks to streamline patient access to clinical services, reduce wait times, and enhance overall patient satisfaction through simplified scheduling and self-service options 7. Initial results from Access 365 show significant improvements in scheduling efficiency and capacity for patient visits 8. Future phases of Access 365 will continue to refine processes

👉 "Advances in computing power and the ever-growing focus on patient-centricity will drive the adoption of innovative trial designs in 2024". Great comments from Marc Buyse in Clinical Research News on predictions for 2024 and the impact multi-criteria integration will offer to more holistic clinical trials' primary endpoint. This may significantly improve the way clinical trials are designed and run, with reduced sample size 🤩 and clinical timelines! 📉 ⌛ Curious to know what else is in store for 2024? Read full article including inspiring thoughts from many industry leaders like François Torche, Niven R Narain, Ph.D., Graham Clark, Jason Dong, Samuel Whitaker, Ariel Katz or William Feehery: https://bit.ly/3H3dBSf #patientcentrictrials #holisticapproach #treatmentdecisions #innovation #staytuned

Exploring the Future of Clinical Research & the Era of Virtual Trials✨ In recent times, there has been a notable transition from paper to digital in clinical research, and with the integration of AI, we are now entering an era that allows for further expansion and optimization of clinical studies. The rapid progress in technology has propelled the growth of remote monitoring, data collection, and the overall execution of clinical trials. Researchers, clinical teams, and CROs, including Atlantia, are actively seeking ways to enhance and broaden the application of virtual methodologies in clinical studies. The advantages are significant, considering that minimizing the participant burden makes it easier to engage them in the study. Additionally, the adoption of a faster and more cost-effective model is a noteworthy benefit. However, a critical question arises: Is the complete virtual model suitable for all purposes? In a recent conversation with Barry Skillington, Atlantia's Chief Commercial Officer, the continued importance of clinical research sites was emphasized. Certain assessments, such as cognitive impairment tests, and the collection of clinical samples, necessitate in-person procedures facilitated by a skilled team of medical professionals. Each study is unique, encompassing diverse design types, health coverage, and clinical requirements. Atlantia is committed to providing guidance on the trial that aligns with your specific needs. #ClinicalResearch #VirtualTrial #DigitalTransformation #AIinClinicalStudies #RemoteMonitoring #ClinicalInnovation

The use of artificial intelligence & machine learning is rapidly expanding across industry landscapes. But as the excitement of these developments grows, regulatory bodies are examining the various risks that accompany these innovations. Gary Shorter of IQVIA discusses the balance between navigating the regulatory guidelines in clinical research with innovation while keeping patient safety top of mind. https://lnkd.in/gBQZXmhk #artificialintelligence #machinelearning #clinicalresearch #regulations #MedAdNews #innovation #technology

We are sharing this interesting webinar from another #EUfunded project CAIDX - Clinical AI-based Diagnostics