Exo’s Post

Excited to be at Intelligent Health 2024 and to learn about progress of AI in health. Given the shortage of healthcare professionals and the cost pressure healthcare systems are facing, AI/ ML holds immense potential to increase efficiency and improve health outcomes! I am looking forward to learning more about opportunities to help HCPs to detect rare, initially asymptomatic renal diseases and system supported carepathways for cardiovascular diseases given the health burden! #AI #healthcaresystems #healthoutcomes #cardiovascular

Ahead of the European Respiratory Society #ERS2024, where cough will be a key topic in multiple discussions, I wanted to share a recent publication by Chung K.F. et al., published in LUNG, on cough variability and predictability in persistent coughers. The study reveals significant within-day and day-to-day variability for each subject with persistent cough recorded over a 30-day period. The two panels on the left highlight the heterogeneity in ‘within-subject’ cough variability regarding the one-day (24h of cough monitoring) predictability for their cough dynamics. The panel on the right presents results for all 97 persistent coughers, ordered by cough frequency predictability. For those at the top of the plot, one day of cough data accurately predicts daily cough frequency over the entire 30-day period. In contrast, for those at the bottom, one day of cough data does not reliably predict daily cough frequency on other days, highlighting the importance of continuous cough monitoring. This is crucial for capturing actual cough dynamics in clinical trials evaluating drug effects and in real-world evidence studies. Access the link to 'Longitudinal Cough Frequency Monitoring in Persistent Coughers: Daily Variability and Predictability' in the comments 👇 If you're at #ERS2024 - this cough monitoring data captured with Hyfe will be presented on Sunday at PS-4 'Artificial intelligence and machine learning in respiratory care: the features and algorithms for monitoring, diagnosis, prediction and advice' - see you there! #Cough #Biomarker #DigitalHealth #AI #ClinicalTrials

Spirometry is a key tool for diagnosing and managing respiratory conditions like asthma and COPD. But did you know that only 13.4% of primary care tests fully meet clinical guidelines? Post-pandemic challenges, such as workforce shortages and limited training, have made high-quality #spirometry even harder to deliver. That’s where #AI comes in. ✨   A recent UK case study highlighted how our ArtiQ.Spiro solution transforms spirometry in primary care, providing a quality and diagnostic assessment, while cutting interpretation time by 50% and boosting clinician confidence. Routine AI use could expand access and enable early, accurate diagnosis of asthma, #COPD, and often-overlooked conditions like #ILD.   ➡️ For findings, takeaways, and more details, read the full article: https://lnkd.in/dHNQ6qDD  Health Innovation North East and North Cumbria University of Sunderland

Brain aneurysms affect around 3-5% of the population, and minor aneurysm growth can have monumental implications, which is why we’re focused on developing AI-driven solutions to help identify, track, and monitor aneurysms. Hear more from our CEO, Karim Karti, on how RapidAI is helping providers catch #BrainAneurysms before they're critical. #BrainAneurysmAwarenessMonth.

❤️ Heart Failure Detection Made Simple with Cardio-HART ⚠️ Heart failure is a global health concern, often going undetected until symptoms worsen. 💡 Cardio-HART solution offers a NEW way to tackle this. By analyzing ECG, PCG, and MCG signals, with the help of AI, it identifies #heartfailure early and very accurately, all three aspects of it (HFrEF, HFmrEF, HFpEF). 💡 Unlike traditional methods, Cardio-HART enables detection at the #primarycare level, helping physicians make decisions faster. Early detection isn’t just about saving lives—it’s also about reducing unnecessary echocardiograms and optimizing resources. Discover more about Cardio-HART’s capabilities today, contact us 👉 https://lnkd.in/dRXDMfUW

"What if AI could eliminate asthma symptoms in just 48 hours? 🤯" 🚀 A groundbreaking AI-powered tool, RhinoMAP, is set to revolutionize respiratory healthcare. Developed by Diag-Nose.io, this cutting-edge technology personalizes treatment plans for conditions like asthma, COPD, and chronic sinusitis promising a future where wheezing and persistent coughing become a thing of the past. 🔬 How does it work? RhinoMAP analyzes individual biological data using a patented nasal liquid biopsy, delivering optimal medication recommendations within just 48 hours and its far more precise and efficient than traditional methods. 💡 The future of personalized medicine is happening now, and AI is leading the charge. Could this be the breakthrough millions have been waiting for? #AI #RespiratoryHealth #MedicalInnovation #PersonalizedMedicine #FutureOfMedicine

Predictions for Chronic Care in 2025 Shaji Nair, CEO of Friska.AI, shares his vision for the future of chronic care. From moving care into patients' homes to AI-driven solutions empowering endocrinologists, the future of healthcare is here. Discover how generative AI and lifestyle medicine will transform chronic disease management. #AIinHealthcare #ChronicCare #DigitalHealth

A new AI-powered system combining a high-speed video camera with an algorithm shows promise for detecting high blood pressure and diabetes quickly and without contact, potentially bypassing the need for blood tests or traditional monitoring devices. Developed in Japan, this early-stage technology accurately identified hypertension and diabetes in a preliminary study, capturing subtle changes in blood flow on participants' faces and hands. With further refinement, the system may enable at-home health screenings and improve access to early diagnosis and treatment for those hesitant about invasive tests. However, these findings, presented at the American Heart Association’s Scientific Sessions 2024, are preliminary, pending validation in diverse populations and real-world settings. Read more: https://lnkd.in/gARFdscQ

Exciting breakthrough in diabetes care! A recent study in rural Pakistan utilizes AI to assess how individuals manage type 2 diabetes. By analyzing self-management practices, researchers identify key factors contributing to poor care. Results underscore the importance of effective management in preventing complications. AI offers personalized interventions and data-driven insights, revolutionizing diabetes care in resource-limited areas. This advancement has global implications for improving health outcomes. Read more:https://lnkd.in/eWUNmEdH  #DiabetesCare #AI #HealthcareInnovation

Trend Tuesday: Blood Setpoints: The Overlooked Path to Personalized Medicine Recently, I strapped on the same glucose monitor people with diabetes rely on, all to learn more about my food patterns. What surprised me: how stable my blood sugar remained—even overnight. I assumed it would steadily drop in the wee hours, but our body is great at tapping into reserves. It turns out blood sugar and body temperature aren’t the only strictly regulated markers. A new study in Nature (Nature volume 637, pages 430–438, 2025, https://lnkd.in/eUA9f9VC) and insights from Eric Topol (https://lnkd.in/ePyJkSBT) highlight how blood composition also runs on individual setpoints—stable levels that bounce back even after infections or injuries. Why does this matter? 🔬 Blood tests are among the most frequent medical analyses, often one per person per year in many countries. 📊 Individual setpoints are more precise than the one-size-fits-all ranges currently used in diagnostics. ⚠️ By relying on population-based reference values, we’re missing crucial personal baselines. Next steps: 📁 Define individual setpoints from existing lab data to improve accuracy. 🤖 Use AI to flag early deviations from your normal, much like wearables do with heart rate changes. 🏥 Integrate this into clinical workflows for more precise monitoring—no extra tests needed Of course, population averages have their place, and we need secure, interoperable systems to handle all this personalized data without causing undue alarm. Implemented thoughtfully, these individual setpoints will enhance everyday healthcare. As someone who’s thrilled to work with this kind of data, I see a practical path toward individualized medicine that’s both simple and cost-effective. Next time you have blood work done, consider asking about your personal baseline—it could be a game-changer for your health. Now, if only my body weight would be regulated as strictly… 🚀 What trend in health and AI is inspiring you the most right now? #PrecisionMedicine #AIinHealthcare #SetpointBiology #MedicalInnovation #FutureOfDiagnostics