Ken Nelson’s Post

🚀 How Digital Biomarkers are Transforming Remote Patient Monitoring 🩺 Digital biomarkers are reshaping healthcare by enabling real-time, data-driven insights into patient health. These measurable signals—captured via digital tools—empower personalized and proactive care, especially for chronic and complex conditions. --- What Are Digital Biomarkers? 🧬 Digital biomarkers are objective, quantifiable data points collected from devices like wearables, smartphones, and sensors. They monitor: - Heart Rate Variability (HRV) 🫀: Tracks cardiac health and stress. - Activity Levels 🏃: Monitors steps, exercise, and recovery. - Sleep Patterns 😴: Evaluates sleep quality and disturbances. - Blood Glucose 🩸: Tracks diabetes through continuous glucose monitors. - Oxygen Saturation (SpO2) 🌬️: Assesses respiratory or circulatory health. - Speech & Gait Analysis 🗣️🚶: Detects neurological changes in conditions like Parkinson’s or Alzheimer’s. --- How Digital Biomarkers Are Used in RPM 📡 Digital biomarkers provide personalized care by monitoring patients in real-world settings. Examples include: 1. Cardiology ❤️: - Wearables detect arrhythmias and track HRV to predict cardiac events. 2. Diabetes Management 🍭: - Continuous glucose monitors optimize insulin therapy by providing real-time glucose readings. 3. Neurological Disorders 🧠: - Smartphones analyze speech and gait to monitor Parkinson’s progression or stroke recovery. 4. Pulmonary Conditions 🌬️: - Devices measuring oxygen saturation and respiration detect COPD exacerbations or sleep apnea. 5. Mental Health 🧘: - Apps track voice tone, typing patterns, and screen time for depression or anxiety indicators. --- Evidence Backing the Impact 🔬 - Cardiac Monitoring: A European Heart Journal study showed wearables can reliably track heart failure progression, correlating strongly with patient-reported outcomes. (https://lnkd.in/eNwZt7mv) - Neurological Insights: RADAR-base uses longitudinal digital biomarkers for epilepsy, depression, and MS monitoring, revealing new care pathways. (https://lnkd.in/efN5wWWk)) --- Why Digital Biomarkers Matter 🌟 1. Early Detection 🚨: Identifies health issues before symptoms escalate. 2. Personalized Treatment 🎯: Adjusts care plans using real-time data. 3. Patient Empowerment 🤝: Engages patients in their health management. 4. Cost Efficiency 💰: Reduces emergency visits and hospitalizations. --- Challenges to Overcome ⚖️ Despite their potential, digital biomarkers face hurdles: - Data Privacy 🔒: Ensuring secure handling of sensitive data. - Interoperability 🔗: Integrating data seamlessly into healthcare systems. - Adherence 📋: Encouraging consistent device use by patients.

🚀 Digital Biomarkers: Shaping the Future of Remote Patient Monitoring 🩺 Dr Deighton's post perfectly highlights how digital biomarkers are revolutionizing healthcare by providing real-time, actionable insights. This aligns with our vision at EMMI Technologies, LLC, where we aim to break down barriers to personalized and proactive care. Our EmmiTec.Health platform tackles some of the key challenges in remote patient monitoring: Data Privacy 🔒: Ensuring secure handling of sensitive information. Interoperability 🔗: Seamless integration with EHR systems like EMIS, Epic, PointClickCare, and NextGen. Hardware Agnosticism 🤖: Supporting CGMs, wearables, and specialized sensors from various manufacturers. Patient Engagement 📈: Customizable reminders, user-friendly interfaces, and gamification features that drive adherence rates above industry averages. We're excited about the role digital biomarkers will play in advancing healthcare and improving outcomes. 👉 If you're exploring RPM solutions or want to collaborate, let's connect! #DigitalHealth #RPM #HealthcareInnovation #PatientCare #EmmiTecHealth

Neuro Monitoring Devices Market Analysis, Trends and Dynamic Demand by Forecast 2024 to 2033 https://lnkd.in/dNPyghN3 Neuro Monitoring Devices Market was valued at $5.6 billion in 2021, and is projected to reach $10.3 billion by 2030, growing at a CAGR of 7.24% from 2022 to 2030. The Neuro Monitoring Devices Market is a specialized segment of medical devices that focuses on technologies used to monitor the functionality and integrity of the nervous system. These devices are essential in critical care, surgery, and diagnostic applications, helping to prevent neurological damage and optimize patient outcomes. Rising neurological disorders, increased surgical volumes, and advancements in monitoring technologies are key drivers propelling the market. Key Market Drivers Growing Prevalence of Neurological Disorders: Conditions such as epilepsy, Parkinson’s disease, Alzheimer’s, and traumatic brain injuries are increasing, driving demand for neuro monitoring devices. Rise in Surgical Interventions: Procedures like spinal surgeries, neurosurgeries, and vascular surgeries require intraoperative neuro monitoring to reduce complications. Technological Advancements: Developments in non-invasive devices, real-time data monitoring, and AI-enhanced systems are fueling market growth. Emphasis on Patient Safety: Growing awareness of intraoperative nerve protection and compliance with healthcare guidelines are boosting device adoption. Aging Population: With the increase in age-related neurological conditions, demand for monitoring devices is expanding. Market Trends Integration of Artificial Intelligence: AI-powered systems are enhancing real-time data interpretation and predictive capabilities. Growth in Non-Invasive Monitoring: Increased demand for non-invasive techniques due to ease of use and patient comfort. Portable and Wearable Devices: Development of compact, user-friendly devices for ambulatory and home-based monitoring. Real-Time Monitoring Systems: Devices offering real-time data are gaining popularity, especially in critical care and surgery. Telemedicine Integration: Remote monitoring technologies are becoming an essential part of telehealth solutions. Challenges High Costs of Devices: Advanced neuro monitoring devices are expensive, limiting accessibility in low-resource settings. Shortage of Skilled Professionals: Specialized training is required to operate and interpret neuro monitoring devices effectively. Regulatory Challenges: Stringent regulatory requirements for approval and compliance can delay product launches. Data Privacy Concerns: Handling and storage of sensitive neurological data require robust cybersecurity measures. Complexity of Integration: Incorporating neuro monitoring devices into existing healthcare workflows can be challenging. Opportunities Emerging Markets: Expansion in regions like Asia-Pacific, Latin America,

Neuro Monitoring Devices Market Analysis, Trends and Dynamic Demand by Forecast 2024 to 2033 https://lnkd.in/dNPyghN3 Neuro Monitoring Devices Market was valued at $5.6 billion in 2021, and is projected to reach $10.3 billion by 2030, growing at a CAGR of 7.24% from 2022 to 2030. The Neuro Monitoring Devices Market is a specialized segment of medical devices that focuses on technologies used to monitor the functionality and integrity of the nervous system. These devices are essential in critical care, surgery, and diagnostic applications, helping to prevent neurological damage and optimize patient outcomes. Rising neurological disorders, increased surgical volumes, and advancements in monitoring technologies are key drivers propelling the market. Key Market Drivers Growing Prevalence of Neurological Disorders: Conditions such as epilepsy, Parkinson’s disease, Alzheimer’s, and traumatic brain injuries are increasing, driving demand for neuro monitoring devices. Rise in Surgical Interventions: Procedures like spinal surgeries, neurosurgeries, and vascular surgeries require intraoperative neuro monitoring to reduce complications. Technological Advancements: Developments in non-invasive devices, real-time data monitoring, and AI-enhanced systems are fueling market growth. Emphasis on Patient Safety: Growing awareness of intraoperative nerve protection and compliance with healthcare guidelines are boosting device adoption. Aging Population: With the increase in age-related neurological conditions, demand for monitoring devices is expanding. Market Trends Integration of Artificial Intelligence: AI-powered systems are enhancing real-time data interpretation and predictive capabilities. Growth in Non-Invasive Monitoring: Increased demand for non-invasive techniques due to ease of use and patient comfort. Portable and Wearable Devices: Development of compact, user-friendly devices for ambulatory and home-based monitoring. Real-Time Monitoring Systems: Devices offering real-time data are gaining popularity, especially in critical care and surgery. Telemedicine Integration: Remote monitoring technologies are becoming an essential part of telehealth solutions. Challenges High Costs of Devices: Advanced neuro monitoring devices are expensive, limiting accessibility in low-resource settings. Shortage of Skilled Professionals: Specialized training is required to operate and interpret neuro monitoring devices effectively. Regulatory Challenges: Stringent regulatory requirements for approval and compliance can delay product launches. Data Privacy Concerns: Handling and storage of sensitive neurological data require robust cybersecurity measures. Complexity of Integration: Incorporating neuro monitoring devices into existing healthcare workflows can be challenging. Opportunities Emerging Markets: Expansion in regions like Asia-Pacific, Latin America,

🌐 Digital Biomarkers are the future of precision medicine 🌐 The IQVIA Institute's 2024 report highlights a major shift: digital biomarkers are now transforming clinical care, diagnostics, and research. Let's see, where we are now! 🩺 What Are Digital Biomarkers? Digital biomarkers are objective, quantifiable measures of health collected through sensors, devices, and apps. These tools provide continuous monitoring and support in areas like: 🏃♂️ Movement: IMUs (accelerometers, gyroscopes), GPS, and touch screens detect motor function (gross and fine). 🧠 Neuropsychiatric Health: Track vigilance, executive function, and speech patterns using smartphones, sensors, and AI. 💓 Vital Signs: PPG, ECG, and ballistocardiography monitor autonomic nervous system function and breathing. 😴 Sleep & Body Composition: IMUs and bioimpedance analysis (BIA) deliver insights on rest and lean muscle mass. 🚀 Key Trends from the Report: 1️⃣ Clinical Trials: Biopharma companies use sensor-based measures to enhance endpoints, optimize trials, and demonstrate drug benefits with real-world data. 2️⃣ Remote Monitoring: Tools like wearables and connected devices track disease progression and predict exacerbations – enabling hospital-at-home solutions. 3️⃣ Early Diagnosis: AI-powered digital diagnostics identify conditions like autism, epilepsy, and atrial fibrillation with high sensitivity and specificity. 4️⃣ Holistic Patient Care: Platforms integrate these biomarkers into clinical dashboards, helping physicians track trends, detect changes, and intervene earlier. 📊 Impact on Medical Practice: - Neurology: assess fine motor disruptions in Parkinson’s disease or post-stroke recovery. - Cardiology: monitor irregular heart rhythms and autonomic function with continuous PPG or ECG data. - Mental Health: analyze speech, breathing, and smartphone usage patterns to assess mood, focus, and vigilance. - Chronic Disease: use sensor-based tools for diabetes, COPD, and sleep apnea to monitor and predict health changes remotely. 🌍 Why It Matters: - Digital biomarkers enable data-driven, personalized care by: - Speeding up early detection - Enhancing chronic disease management - Expanding access to diagnostics outside traditional settings Using digital biomarkers more and more in clinical practice will help us move toward more precise, proactive, and patient-centered care! If you want to know more, the full report can be found here: 🧩 Which areas of your practice could benefit from digital biomarkers? PeakProfiling GmbH Neurocast MindMore® Combinostics Mindpeak GmbH inlisol Skinuvita Kiso Health Aidvance Full report: https://lnkd.in/dpM8vszg

ECG And Multi-Parameter Monitoring Devices Market Share, Size, Demand, Key Players by Forecast 2033 https://lnkd.in/gGqVQ2fA The ECG and Multi-Parameter Monitoring Devices Market is witnessing significant growth driven by the rising prevalence of cardiovascular diseases, technological advancements in monitoring devices, and increasing demand for continuous patient monitoring. ECG (Electrocardiogram) devices and multi-parameter monitoring systems are essential tools in healthcare settings for diagnosing and managing various cardiac and physiological conditions. Key Segments within the ECG and Multi-Parameter Monitoring Devices Market: Types of Devices: ECG Devices: Resting ECG Devices: Used to record the heart's electrical activity while the patient is at rest. Stress ECG Devices: Used to monitor the heart's activity during physical stress or exercise. Holter Monitors: Portable devices worn by patients for continuous ECG monitoring over 24-48 hours. Event Monitors: Portable devices that record heart activity when symptoms are detected by the patient. Implantable Loop Recorders: Implanted under the skin for long-term monitoring of heart activity. Multi-Parameter Monitoring Devices: Bedside Monitors: Used in hospital settings to continuously monitor vital signs such as ECG, heart rate, blood pressure, respiratory rate, and oxygen saturation. Portable Monitors: Compact devices used in various healthcare settings and for home monitoring. Wearable Monitors: Wearable technology for continuous monitoring of multiple physiological parameters, often integrated with mobile health applications. End Users: Hospitals and Clinics: Primary settings for using ECG and multi-parameter monitoring devices for patient diagnosis and monitoring. Ambulatory Surgical Centers (ASCs): Use these devices for monitoring patients during and after surgical procedures. Homecare Settings: Increasing use of portable and wearable monitoring devices for chronic disease management at home. Diagnostic Laboratories: Utilize these devices for various diagnostic tests and continuous patient monitoring. Emergency Medical Services: Employ these devices for real-time monitoring of patients in emergency situations. Applications: Cardiovascular Disease Management: Monitoring and diagnosing conditions such as arrhythmias, myocardial infarction, and heart failure. Respiratory Monitoring: Continuous monitoring of respiratory rate and oxygen saturation in patients with respiratory disorders. Postoperative Monitoring: Monitoring vital signs of patients after surgical procedures to ensure recovery. Chronic Disease Management: Long-term monitoring of patients with chronic conditions such as diabetes, hypertension, and chronic obstructive pulmonary disease (COPD). Critical Care: Continuous monitoring of critically ill patients in intensive

🚀 Exciting News! 🚀 MediCardia Health Inc. and Wearable Technologies Inc. announce Multi-Year Agreement to Enhance Cardiology Care with Advanced AI Integration   MediCardia, a leading provider of comprehensive Cardiology care management and remote patient monitoring (RPM) solutions, today announced a multi-year agreement with Wear-Tech, a pioneer in wearable health technology and AI-driven safety and healthcare solutions. This strategic partnership will focus on integrating Wear-Tech's AI Assistant, MAHI, into MediCardia's first-of-its-kind smart digital medicine and connected health platform. Under this partnership, Wear-Tech will support the maintenance and development of MediCardia's next-generation platform, enhancing its capabilities with MAHI's features. This collaboration aims to revolutionize Cardiology care through the integration of a scalable intelligence module that optimizes efficiency and drives quality to maximize patient outcomes, leveraging remote monitoring and virtual care. "At MediCardia, our mission is to provide superior Cardiology care through innovative technology. Partnering with Wear-Tech to integrate MAHI into our platform aligns perfectly with our goals," said Dr. Indrajit Choudhuri, CEO of MediCardia Health Inc. "This collaboration will empower healthcare providers with sophisticated tools to deliver better patient outcomes." MediCardia Health Inc.: Comprehensive Care Management: MediCardia's platform offers a robust suite of tools for chronic care management (CCM), enabling seamless coordination between healthcare providers and patients. Remote Patient Monitoring: The RPM solutions by MediCardia provide real-time data collection and analysis, ensuring timely interventions and personalized care plans. Data-Driven Insights: Leveraging extensive clinical data, MediCardia enhances decision-making processes and improves patient outcomes through actionable insights. MAHI Experience: Advanced AI Capabilities: MAHI, Wear-Tech's AI Assistant, utilizes cutting-edge machine learning algorithms and small language models to deliver precise and predictive healthcare solutions. Wearable Integration: Wear-Tech's innovative wearable devices offer continuous monitoring and data collection, providing a comprehensive health overview for patients and providers. Enhanced Patient Engagement: MAHI's user-friendly interface and intelligent features foster improved patient engagement, experience, and adherence to treatment plans. The Future of Cardiology Care The integration of MAHI into MediCardia's platform will bring several transformative benefits, including: - Improved Diagnostic Accuracy - Streamlined Care Coordination - Personalized Treatment Plans "We are thrilled to partner with MediCardia to bring our AI technology to their already impressive platform," said Wear-Tech CEO Deepak Arora, MBA. "Together, we will push the boundaries of what's possible in Cardiology care, making it more proactive, personalized, and efficient."

🧐 The Top 10 Hidden Champions in the Digital Cardiology Market on R2GConnect https://bit.ly/4ffEZfw The digital cardiology landscape is rapidly evolving, driven by breakthroughs in medical devices, wearable technologies, AI, and comprehensive disease management platforms. Some notable advancements and achievements include: - Eko Health closed a $41M Series D round and received FDA clearance for its AI-powered heart murmur and low ejection fraction detection algorithm. - AliveCor launched its AI-powered Kardia 12L ECG System with new FDA clearance. - GE HealthCare introduced CardioVisio for improved atrial fibrillation management. - Royal Philips acquired BioTelemetry, Inc. and entered the remote cardiac diagnostics and monitoring solutions market.  - Withings unveiled BeamO, a multifunctional heart health device. - Apple and Google continue to innovate with heart health features in their smart wearables. - Bayer announced a partnership with Huma to develop Bayer Aspirin Heart Risk Assessment tool, and Novartis joined forces with Dawn Health to build remote monitoring solutions for range of chronic conditions incl. hypertension and cardiovascular diseases. While major players are making headlines, the market also has promising "#HiddenChampions" poised for future success. R2GConnect.com highlights these companies from its extensive database of over 8,200 digital health companies. The companies selected are based on three pivotal dimensions: - #Dynamism: Companies like Rhythm Diagnostic Systems, Inc., CardioSignal by Precordior and myoncare by ONCARE ,have demonstrated resilience and robustness in their growth journey. - #Readiness to #Execute: Companies such as Wellthy Therapeutics, Powerful Medical and Vivalink as well as Cardisio exemplify strong competence and readiness in executing business strategies. - The #Aspiration Analysis: Besides Wellthy Therapeutics with a high mark, most of the Top 10 hidden champions and their solutions in the digital cardiology segment garnered moderate success in the evaluation. Also among the Top 10 companies are ATLASense Biomed Ltd., Shen.AI and Cardio Healthcare. 🔔 Want to know more? Check it out here: https://bit.ly/4ffEZfw On R2GConnect.com, you'll find hidden champions across various segments of the digital health market. To learn more, schedule a demo session with Sorin STIRCU, Partnerships Manager: https://bit.ly/3TGL2kF #digitalhealth #healthcare #marketinsights #globalhealth #marketleaders #hiddenchampions

🌟 Personalized Health Series - MedTech for Personalized Health 🏥 Still a few more weeks to the workshop on "MedTech for Personalized Health", which will take place on the 6th of June. The program of the event is excitingly taking shape. As we previously did in past editions, the format of the meeting will consist of three different sessions: 📍 In the first one, two successful collaborations between academia and industry will be illustrated; 📍 The second session will offer attendees the opportunity to showcase a project they are working on, and look for possible collaborators; 📍 In the third and final one, a panel of experts will discuss how to "Harness the power of collaborations and partnerships", in order to understand how to remove obstacles and foster cooperation between academia and industry. Two worlds that, too often, are far apart, missing the opportunity to really create innovation. 🤝 Today, we are very happy to announce the two speakers of the keynotes, presenting running successful collaborations: 💥 Prof. Philippe Claude Cattin (University of Basel) will give a seminar on "Experiences in Certifying an AI-based MS Lesion Segmentation Method at the University of Basel". With his team, they are certifying (ISO 13485) a deep learning approach for automatically segmenting multiple sclerosis lesions to be used in the university hospital of Basel, and by an imaging CRO for clinical trials. Certification is a crucial step for translational medicine in order to bring research achievements into daily clinical routine. 💥 Dr. Daria Rukina (Senior Data Scientist, Roche) will talk about "Medical grade wearable derived digital endpoints to enable more efficient clinical trials and personalized treatments". Patients with neuromuscular disorder often suffer from impairments in movement that impacts on their quality of life. Reliable, precise and easy to use objective measurements of patient's disease progression can help physicians to prescribe the most appropriate therapy but also support more efficient clinical trials to develop new medicines. Digital data were collected in a clinical trial for Duchenne Muscular Dystrophy. The talk will give an idea on the complexity of data, how state-of-the-art machine learning/AI can support deriving important insights on the data and how such digital biomarkers are compared against a clinical anchor (e.g. 10 Minute Walking Test) to demonstrate utility of wearable derived digital endpoints. The two keynotes are not only focused on different, though essential, aspects investing MedTech devices; they will also clearly show how AI-driven approach has strongly impacted on the field, bringing unparalleled opportunities for physicians and patients. ➡ Next week, we will communicate the list of the speakers of the short talks, along with the respective titles. Stay tuned! 📻

How does AI and aging intersect with healthcare and medicine? Part 1: Disease prevention and early detection, personalized treatment plans and robotics and assistive technologies. Part 2: Cognitive and mental health support, AI-powered drug discovery and development and elderly care and long-term monitoring. Part 3: Health optimization and welness, healthcare workforce support and healthcare accessibility and equity. The intersection of AI, aging, and healthcare/medicine is profound and multifaceted, with AI playing a pivotal role in improving the quality, efficiency, and accessibility of healthcare for aging populations. Part 1: 1. Disease Prevention and Early Detection -Predictive Analytics for Age-Related Diseases: AI algorithms can analyze large datasets from medical records, genetic information, and lifestyle factors to predict the onset of age-related diseases, f.i.: Alzheimer's, Parkinson’s, diabetes, and cardiovascular disease. Early detection enables timely interventions and better management. -Medical Imaging: AI tools can process medical imaging (e.g., MRIs, CT scans) to detect early signs of diseases that disproportionately affect older adults, f.i.: cancer, osteoporosis, or strokes. AI can highlight subtle patterns or changes that human doctors might miss, enhancing diagnostic accuracy. 2. Personalized Treatment Plans -Tailored Therapies: AI helps in the personalization of treatment plans for elderly individuals, considering their unique genetic makeup, health history, and lifestyle factors. ML models can optimize medication dosages, recommend the best treatments, and adjust therapy regimens to suit each patient's needs, minimizing risks and improving outcomes. -Precision Medicine: AI supports the concept of precision medicine, where treatments are customized for individuals based on genetic data, environmental factors, and lifestyle. This is especially relevant for aging populations, who may experience different responses to medications and therapies than younger individuals. 3. Robotics and Assistive Technologies -Robotic Surgery: AI-powered robotic systems assist surgeons in performing precise surgeries, particularly in elderly patients who may be more vulnerable to complications. These robots can handle delicate procedures with higher accuracy and minimal invasiveness, reducing recovery times. -Assistive Robots and Exoskeletons: AI-driven robots assist older adults with activities of daily living (ADLs), such as mobility, personal care, and household tasks. Additionally, AI-powered exoskeletons help elderly individuals regain or retain mobility, improving their independence and quality of life. -Telemedicine and Remote Monitoring: AI-based telemedicine platforms let healthcare providers remotely monitor elderly patients, track vital signs (e.g., heart rate, blood pressure), and provide timely interventions. AI can detect anomalies in data, alerting caregivers and doctors to potential health risks before they become critical.