Dr. Marcus Ranney’s Post

A powerful dive into the Future of AI x Diabetes Prediction with Dr. Ahmed Abdelhadi Metwally—Google Senior Research Scientist and Stanford Diabetes Postdoctoral Scholar. Highly recommend for healthcare professionals and trainees passionate about AI, Omics Data, Metabolic Health, Wearable Tech, and Predictive Analytics!

New FREE PULSE by Wareable! I spoke to Hang Yuan, the University of Oxford research fellow behind an AI foundation model trained on wearable data that could play a part in helping people with Parkinsons, cardiovascular disease, cancer and even better sleep data. If you want to understand the role of AI in future wearables, and why the UK Biobank's wearable data is the 'gem of 21st-century biomedical research” this is a must-read. #FoundationModels #Wearables #DigitalHealth #SelfSupervisedLearning #UKBiobank #ActivityRecognition #npjDigitalMedicine

Great Speakers and Amazing Topics! "Advancing Clinical Impact of Movement Analysis and Patient Activity Monitoring- Wearables, AI, Computer Vision, Data-Driven Approaches "ICORS, Feb 7-11, Phoenix, AZ. "There is a knowledge gap in exploiting and combining the fast-developing digital technologies such as wearable sensors, artificial intelligence including machine learning, open-source computer vision with consumer cameras and data-driven approaches towards routinizing and democratizing the clinical use and large-scale deployment of otherwise predominantly lab-bound or specialist-only movement analysis and real-life remote activity monitoring. This includes for instance interfacing wearable sensors with the body for long-term mobility measurement, and in converting raw data from wearable sensors such as inertial measurement units to clinically relevant mobility metrics including joint angles, task (classification), and task performance metrics. New approaches to sensor design, data analytics and computer vision are being used to realize the use of wearables for this purpose, with direct benefit and applications in both clinic and home settings. Speakers: David Ackland, PhD, University of Melbourne Increasing Clinical Usability of Motion Capture Using Wearables, AI and Open-Source Computer Vision Dominic Thewlis, PhD, University of Adelaide New Insights From Ground Reaction Forces During Walking Using Deep Learning and a Diverse Global Dataset Philippe Dixon, DPhil, McGill University Detecting Walking Surfaces in Activity Monitoring as a Meaningful Mobility Metric Using Machine Learning Plus Computer Vision for Ground Truth Labeling Thomas Grupp, PhD, Aesculap AG and Ludwig Maximilians University Pre-/Intra-Op Knee Kinematic and Ligament Stability Evaluation Integrated in the Workflow Towards Functional Phenotypes in Total Knee Arthroplasty

🔹 Wearable Technology & AI: The Path to Personal Health Monitoring In today’s fast-evolving tech landscape, wearable devices combined with AI are reshaping personal health. This article dives into how health metrics, from heart rate to sleep quality, are monitored in real-time, giving people more control over their wellness. Learn about the role of AI in interpreting health data, future potential for early disease detection, and how these advances are shaping healthcare. Ideal for tech enthusiasts, healthcare professionals, and anyone curious about the future of health! 🏥💡 #WearableTechnology #AIinHealth #HealthcareInnovation

Breakthrough in Wearable Tech: AI-Powered Smart Band Enhances Health Monitoring #WearableTech #HealthTech #AI #SmartBand #HealthMonitoring Read:

🌟 The Future of Healthcare is Wearable and AI-Driven 🌟 The wearable medical devices market is set to skyrocket from $91.21 billion in 2024 to an astonishing $324.73 billion by 2032! 🚀 This rapid growth is largely powered by the integration of AI and machine learning, which are transforming how we monitor and manage our health. From continuous glucose monitors to fitness trackers that provide real-time insights, these innovations are not just gadgets—they're game-changers for patient care. But with great power comes great responsibility. The rise of AI in wearables also introduces new regulatory challenges, as ensuring the safety and accuracy of these devices becomes more complex. For MedTech companies, staying ahead means not only embracing these technologies but also navigating the evolving regulatory landscape. The future of healthcare is not just about innovation; it's about ensuring that innovation is safe, effective, and accessible. 🔗 What are your thoughts on the role of AI in healthcare? How do you see wearable technology shaping the future? Let's discuss! #HealthcareInnovation #WearableTech #AI #MedTech #RegulatoryAffairs

A powerfull busienss case.....

🌟 Unlocking the Secrets of State Anxiety: A Groundbreaking Study on Wearable Technology 🌟 In a pioneering research effort, scientists have unveiled novel biomarkers for monitoring state anxiety through non-invasive wearable technology. This study, conducted by a team from the California Institute of Technology and Dartmouth Hitchcock Medical Center, leverages Electrooculography (EOG) and Electrodermal Activity (EDA) to provide real-time insights into physiological responses associated with anxiety. 🔍 Key Findings: - The research introduces two innovative datasets: 1. BLINKEO: A comprehensive EOG signal blink identification dataset. 2. EMOCOLD: Capturing physiological responses during the Cold Pressor Test (CPT). - By analyzing blink rate variability and skin conductance peaks, researchers identified multiple new anxiety-specific biomarkers that enhance our understanding of emotional states. - Utilizing advanced interpretability techniques like SHapley Additive exPlanations (SHAP), this study refines models to correlate physiological signals with state anxiety effectively. 💡 The results underscore the potential for wearables in personalized health monitoring and mental health interventions—transforming how we approach stress management in real-time! This work not only contributes to developing context-sensitive models for anxiety assessment but also paves the way for more effective applications of wearable technology in healthcare settings. 🌐 As we continue to explore these advancements, it becomes increasingly clear that integrating technology into mental health strategies can lead to significant improvements in well-being. #AI #Algorithms #AnxietyMonitoring #ArtificialIntelligence #CaltechResearch #DL #DS #DataScience #DeepLearning #EDA #EOG #HealthInnovation #ML #MachineLearning #MentalHealth #Tech #Technology #WearableTechnology Source: https://lnkd.in/efQckG4M

“Revolutionizing Recovery: How AI and Wearable Tech Are Transforming Physiotherapy” The physiotherapy field is entering a new era, powered by AI and wearable technology. These advancements enable real-time tracking, personalized rehabilitation plans, and precise feedback to ensure patients perform their exercises effectively. For example, AI-driven apps now provide instant insights into posture and movement, while wearable sensors monitor progress and improve patient engagement. These tools are already reducing recovery times and helping people take charge of their health. As these technologies become more accessible, the potential to transform patient care is limitless. What role do you think AI and tech will play in shaping the future of physiotherapy? Let’s connect and discuss! #Physiotherapy #AI #WearableTech #HealthcareInnovation #Rehabilitation

#Innovations in human-tech interactions are quickly catapulting us into a new “human interface,” which goes far beyond traditional wearables that track physical activity. And with the advances in #AI, the possibilities are fascinating—and not far-fetched. Hear what leading innovators have to say: https://accntu.re/3R2piOp #BuiltForChange [Image description: Xuanhe Zhao, a professor at Massachusetts Institute of Technology, is pictured on the right with the Built for Change logo overlaid below him. On the left, his quote reads, “Now the data from all these wearable devices can be analyzed by AI, many things are possible, and the data potentially will change the future of human society.” Above his quote, text reads: Episode 38: Our bodies electronic: The future of wearable tech.]