The drug development process faces significant challenges, with nearly 86% of all trials failing to meet enrollment goals. 🔬 Check out our newest blog for an in-depth look at the crucial steps in patient recruitment and enrollment, challenges, and cutting-edge solutions. Find out how AI, machine learning and digital tools can enhance clinical trial processes, lower expenses and speed up drug approvals: https://bit.ly/3L8uQ6r #ClinicalTrials #PatientEngagement #Diversity #HealthTech #Lifebit
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It is exciting that AI/ML in healthcare research has already arrived...but we still have a lot of work to do. Many AI/ML models are trained off of publicly available registries and/or historical clinical trial data, which is already outdated in rapidly evolving fields and lacks diversity. Real-world data, in real-time, is essential for the clinical success of AI/ML in practice. The slow adoption of EMRs and repeated cautiousness around Ph3 outcomes data over the years demonstrates the hesitancy of novel technology utilization by physicians. AI/ML will be no different. Lets generate confidence by using what physicians trust most, their patients' real-world data.
🔬🤖 Reading now: Johnson & Johnson leverages AI's transformative potential for healthcare research. They have found ways for AI to accelerate drug discovery, detect diseases earlier, and enhance clinical trials. Real-world data fuels AI development, driving cutting-edge algorithms for better patient outcomes. Join us in shaping the future of healthcare! #AIinHealthcare #Innovation #JNJHealthTech #RWD https://lnkd.in/dNxQD3f9
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My thoughts on #digital #ai in #healthcare #healthcareasia Boston Consulting Group (BCG)
In healthcare, AI accelerates drug discovery and diagnosis, but the ultimate treatment decisions must remain human-driven. Strict data policies and continuous training are vital for safeguarding patient information in evolving technology. Be more informed by watching this video: https://bit.ly/3SISDPt
HCA x BCG: Human autonomy still superior over any new healthtech
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CEO-NOVELORICA | FOUNDER-The Patient Perspective • AcquiredSavant w/ Synesthesia • Contemplative Artist & Theologian • Entrepreneur • Ethical AI • Published Writer • Keynote Speaker
No - I’m not convinced that we should be happy about these percentages. “Helping Doctors Make Tricky Diagnoses - In a JAMA study, researchers studied seven tricky cases and tested if Chat GPT-4, an AI platform, could make the diagnosis only using the case description and test results. AI correctly diagnosed the case 39% of the time and listed the correct diagnosis as a possible but not top diagnosis in 64% of cases. Those numbers may not be reassuring to patients. Yet for doctors, it shows the power of AI to copilot perplexing cases, aiding in challenging medical decision-making.” Furthermore, I’m curious to know how Ambient AI rolls up the data in raw form and what does it look like? What happens to de identified pt data (there really isn’t such a thing)? The big questions are - who’s listening and what gets incorporated into the big databases?
5 Ways Artificial Intelligence Is Changing Healthcare — Forbes
apple.news
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🚀 Researchers at Ohio State University have developed #CURE, an AI model that estimates drug treatment effects accurately without clinical trials! 🧬 📊 Trained on 3M+ de-identified health records, CURE surpasses 7 other AI models, improving prediction accuracy by 7-8%. 🔬 Aligning closely with clinical trial results, this AI showcases the potential to revolutionize drug testing, making it faster and less costly. 💡 #AIinHealthcare is advancing! CURE could significantly speed up new treatment discoveries, bypassing traditional clinical trials' costs and timelines. #Innovation #HealthTech
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With AI being the talk of the future, I am excited to see what efficiencies AI will drive in Clinical Trials.
How AI is supercharging clinical trials
brighttalk.com
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Bredec Group BredecInnovation Google DeepMind Releases New AI Model Version for Drug Development | Healthcare Innovation: If you manage a healthcare revenue cycle, you know the road to quick, complete payments is rocky. Using decades of industry expertise and real-world ... inquiry@bredec.com Inquiry@bredec.com
Google DeepMind Releases New AI Model Version for Drug Development
hcinnovationgroup.com
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I read this very interesting article recently that succinctly puts across the necessity for the NHS to adopt digital innovation to improve productivity. https://lnkd.in/ed8QSBm9 It importantly presents the vital need for the application of digital innovation in enabling secondary prevention of long-term conditions. Whereby the opportunity, scale and impact that can be achieved via tech enabled community services will deliver significant impact downstream in the ability to enhance efficiency and productivity for those requiring more intensive treatment interventions. The role of using data and AI in the clinical decision-making process is again given prominence, but the article perhaps doesn’t convey the opportunity of aligning frontline decision support to broader clinical pathway optimisation and the impact this could have on the patient’s experience of care. It also poses that the impact of biotechnological innovation as being one that will further constrain available capacity, and yet many therapeutic innovations coming through the pipeline will also go some way to addressing this resource burden as increasing numbers of for example innovative immuno therapies move to tablets or injections from infusion-based treatments. #IQVIAMAPA #weareIQVIA #NHS #digitalhealth
Unit cost and hope: Increased NHS resilience through tech-enabled transformation
sciencedirect.com
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Visual data is at the heart of patient care. Companies in healthcare, medical devices, biotech and pharmaceuticals choose the open source FiftyOne computer vision toolset to curate better data, build better machine learning models and deliver better patient outcomes. Learn more about healthcare-related computer vision use cases, workflows, datasets, and the companies transforming healthcare for the better. Learn more: https://lnkd.in/gEi73Qgd #computervision #artificialintelligence #ai #DataScience #healthcare #medicine #HealthTech #DigitalHealth #MedicalImaging #PrecisionMedicine
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Healthcare analytics is revolutionizing the industry by leveraging the power of data to uncover hidden patterns and correlations in complex medical datasets. This enables a range of benefits, including: Al-driven diagnosis: Improved accuracy in diagnoses by uncovering patterns in vast amounts of medical data. Personalized care: Predicting patient responses to personalize treatment paths for better outcomes. Proactive detection: Early identification of health risks through AI-powered data analysis. Faster drug development: Accelerated research and development by simulating and predicting the effectiveness of new drugs. How is your healthcare organization leveraging data analytics to improve patient care? #atgeirsolutions #generativeai #ai
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