Innovations in Digital Health, Diagnostics, and Biomarkers’ Post

AI-repurposed drugs, or existing drugs for which AI algorithms and techniques have identified potential new uses, can accelerate discovery of new treatments while reducing development timelines and costs. However, human oversight of this class of drugs is necessary, particularly as it concerns algorithmic transparency, treatment guidelines, and real-world data. Physicians should judiciously evaluate AI-repurposed drugs also by ensuring the AI predictions have been validated and pressure-tested in clinical practice. Gilles Paubert, Global Head of Cegedim Health Data #realworlddata #rwd #realworldevidence #rwe

AI integration in clinical trials can streamline processes by refining patient enrollment, identifying super-responders, enabling novel endpoints, and improving data quality, ultimately reducing trial timelines and costs. #ai #clinicaltrials #pharma #medical #InformaConnectAcademy

On an episode of “Transforming Biopharma,” we discussed the pain points related to #ClinicalTrials, including patient recruitment and retention, as well as trial design. It’s encouraging to read this STAT article profiling six companies that are helping drugmakers streamline their processes to address these and other issues. https://lnkd.in/eZA3hSiH

Patient recruitment is a major bottleneck in clinical trials, often taking months and adding substantial costs to drug development. But artificial intelligence is out to change that! Formation Bio has just launched Muse, an innovative AI tool designed to transform the patient recruitment process in clinical trials, aiming to compress recruitment timelines from months to mere minutes! Here’s a look at how Muse works and what this means for the future of drug development >> bit.ly/4hNBA94 #myAMCR #HeadlandsResearchAMCR #ClinicalTrials #ClinicalResearchProcess #ArtificialIntelligenceTechnology #PowerOfAi #AIandDiabetes

The integration of AI in patient recruitment is revolutionizing the way hospitals and health-system pharmacies support clinical trials. Given the significant financial risks involved in drug development, AI technologies offer a promising solution. https://lnkd.in/e8n43VeP

The integration of AI in patient recruitment is revolutionizing the way hospitals and health-system pharmacies support clinical trials. Given the significant financial risks involved in drug development, AI technologies offer a promising solution. https://lnkd.in/gskeSZ9y

The integration of AI in patient recruitment is revolutionizing the way hospitals and health-system pharmacies support clinical trials. Given the significant financial risks involved in drug development, AI technologies offer a promising solution. https://lnkd.in/dRqD3HC8

AI is reshaping the entire drug development cycle, from pinpointing the perfect molecule to navigating complex clinical trials and ensuring long-term market success. Learn more - https://lnkd.in/gmr2w33F Key drivers of AI in drug development:   ✅Faster R&D timelines ✅ Cost efficiencies  ✅ Enhanced patient outcomes Let’s explore the possibilities together—drop your thoughts in the comments! #AI #GenerativeAI #Healthcare #AIinHealthcare #DrugDevelopment #PharmaTech #SolvingWhatMatters #Quantiphi

The integration of AI in patient recruitment is revolutionizing the way hospitals and health-system pharmacies support clinical trials. Given the significant financial risks involved in drug development, AI technologies offer a promising solution. https://lnkd.in/ehPsJEH8

The integration of AI in patient recruitment is revolutionizing the way hospitals and health-system pharmacies support clinical trials. Given the significant financial risks involved in drug development, AI technologies offer a promising solution. https://lnkd.in/dgdCBEGr