Center for Telehealth and eHealth Law (CTeL)’s Post

I love my #applewatch, even when it reminds me that I haven't taken enough steps or earned enough exercise minutes! What else can your #smartwatch do for you? Learn how AI can positively impact 13 health prediction tasks across mental health, activity tracking, metabolism, sleep and cardiology, in combination with wearable data to yield up to a 23.8% improvement in health prediction performance. #themoreyouknow #thefutureisnow #AIready #staycurious

Rare bone marrow and blood diseases, such as paroxysmal nocturnal hemoglobinuria (PNH), can be challenging to characterize due to their subtle onset, overlapping symptoms, and individual variability. Our research aimed to examine the impact of PNH and its treatment on patients’ daily lives by combining patient-reported outcomes with wearable technology. Learn what we uncovered: https://hubs.li/Q02LWQQd0 #publication #research #springernature #pnh #blooddisease x#Evidation

Smartwatches can do more than just track steps and sleep. A new study says they can also give important information about dep_ression symptoms to mental health doctors. A professor named Joshua Curtiss from Northeastern University in the US says this kind of technology is part of something called precision medicine. This means doctors can personalize treatments for each patient better. The study looked at data from patients at Massachusetts General Hospital who wore a special wristband called Empatica E3. This wristband tracked their sleep, movement, heart rate, and other things. Changes in sleep patterns, such as sleeping too much or too little, can indicate dep_ression, just like reduced physical activity and being socially isolated. All these signs can be seen using wearable technology like smartwatches and smartphones. For example, doctors can see how often patients use messaging apps to tell if they're talking to people or not. Curtiss says this data can give doctors more information they wouldn't normally have. But it's not meant to replace doctors' judgment. They still talk to patients and use their own knowledge to understand everything. If the data shows a patient isn't moving much, the doctor can talk to them about why and how they're feeling. The same goes for sleep patterns. Curtiss says it's common for patients to not tell the whole truth about how they're feeling, so this data can help fill in the gaps. #doctor #smartwatch #sleeping #data

Introducing Sympathetic Arousal: A Breakthrough in Mental Health Measurement! 🤯 Did you know that while HRV (Heart Rate Variability) offers some insights into our autonomic nervous system, it can't reliably measure the body's real-time stress response? This is the issue we see in most other wearables presenting a stress score based on HRV alone. We're thrilled to announce our new partnership with Philia Labs! By combining BIOSTRAP's cutting-edge wearable technology with Philia Labs' expertise in autonomic nervous system analysis, we're pushing the boundaries of wearable tech to empower everyone—from elite athletes to everyday heroes—to understand their bodies and make informed health decisions like never before. What's the game-changer? We can now provide real-time stress management by monitoring both sympathetic and parasympathetic arousal, delivering evidence-based insights into stress levels. This focus on physiological markers enables personalized and timely mental health interventions. Our initial focus areas: 🏃♀️ Healthspan and Longevity 🚑 First Responders and Military Personnel 🥇 Elite Athletes We're excited to share more updates soon! Stay tuned. Question: How do you think real-time stress monitoring could impact your daily life or profession? Learn more about Sympathetic Arousal here: https://lnkd.in/gt_JkGMn #Biostrap #PhiliaLabs #MentalHealthInnovation #WearableTech #StressManagement #Longevity #Wellness #HRV #HeartRateVariability #SympatheticArousal #MentalHealth

https://lnkd.in/edV9b7jN "AI can play a crucial role in (near) future medicine and personal well-being. Wearable devices like smartwatches and wristbands (and rings) can collect vast amounts of clinical data, including blood pressure, respiratory rate, oxygen levels, pulse, and body temperature. AI can analyze this data in real time, providing valuable insights for health monitoring and early detection of health issues." #ArtificialIntelligence #AI #WearableAI #WearableTech

Using the EEG sensors , Soon to be everyday smart device

𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐲𝐨𝐮𝐫 𝐃𝐫𝐞𝐚𝐦𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈 Recently, a groundbreaking innovation has emerged in the realm of wearable sleep aid devices: 𝐏𝐫𝐨𝐩𝐡𝐞𝐭𝐢𝐜'𝐬 𝐇𝐚𝐥𝐨, 𝐚𝐧 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐡𝐞𝐚𝐝𝐛𝐚𝐧𝐝 𝐝𝐞𝐬𝐢𝐠𝐧𝐞𝐝 𝐭𝐨 𝐢𝐧𝐝𝐮𝐜𝐞 𝐥𝐮𝐜𝐢𝐝 𝐝𝐫𝐞𝐚𝐦𝐬. This intriguing device has garnered significant attention and sparked curiosity among dream enthusiasts and technology aficionados alike. 𝐓𝐡𝐞 𝐇𝐚𝐥𝐨, 𝐰𝐡𝐢𝐜𝐡 𝐢𝐬 𝐬𝐞𝐭 𝐭𝐨 𝐫𝐞𝐭𝐚𝐢𝐥 𝐚𝐭 𝐚𝐧 𝐞𝐬𝐭𝐢𝐦𝐚𝐭𝐞𝐝 $𝟐,𝟎𝟎𝟎, utilizes ultrasound technology, pulse controls, and other advanced features to 𝐮𝐧𝐥𝐨𝐜𝐤 𝐭𝐡𝐞 𝐬𝐮𝐛𝐜𝐨𝐧𝐬𝐜𝐢𝐨𝐮𝐬 𝐦𝐢𝐧𝐝 𝐚𝐧𝐝 𝐞𝐧𝐚𝐛𝐥𝐞 𝐮𝐬𝐞𝐫𝐬 𝐭𝐨 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐭𝐡𝐞𝐢𝐫 𝐝𝐫𝐞𝐚𝐦 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬. The device's Morpheus-1 system, according to the Prophetic website, employs multi-element focused ultrasound and generative 3D spatial pulse controls, which are informed by fMRI training and EEG sensors. Prophetic is currently seeking volunteers and beta users to participate in studies aimed at further understanding and refining the capabilities of the Halo. 𝐓𝐡𝐞 𝐜𝐨𝐦𝐩𝐚𝐧𝐲'𝐬 𝐮𝐥𝐭𝐢𝐦𝐚𝐭𝐞 𝐠𝐨𝐚𝐥 𝐢𝐬 𝐭𝐨 𝐞𝐱𝐩𝐚𝐧𝐝 𝐜𝐨𝐧𝐬𝐜𝐢𝐨𝐮𝐬𝐧𝐞𝐬𝐬 𝐚𝐧𝐝 𝐢𝐧𝐝𝐮𝐜𝐞 𝐜𝐨𝐧𝐬𝐜𝐢𝐨𝐮𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬, 𝐰𝐡𝐢𝐜𝐡 𝐜𝐨𝐮𝐥𝐝 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥𝐥𝐲 𝐫𝐞𝐯𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐢𝐳𝐞 𝐭𝐡𝐞 𝐰𝐚𝐲 𝐰𝐞 𝐩𝐞𝐫𝐜𝐞𝐢𝐯𝐞 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭 𝐰𝐢𝐭𝐡 𝐨𝐮𝐫 𝐝𝐫𝐞𝐚𝐦𝐬. The introduction of the Halo has generated considerable buzz in the tech world, with many eager to explore the possibilities of controlling their dream experiences. As more people sign up for the beta program, the future of dream control and exploration is poised to become even more exciting and accessible. 𝐖𝐨𝐮𝐥𝐝 𝐲𝐨𝐮 𝐥𝐢𝐤𝐞 𝐭𝐡𝐞 𝐩𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐨𝐟 𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐥𝐢𝐧𝐠 𝐲𝐨𝐮𝐫 𝐝𝐫𝐞𝐚𝐦 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞𝐬? #generativeai #genai #ai #Innovation #dreams ******************************************** Doug Manuel Nitesh Jeff Martin Jamie Dr. Kruti Fabrizio • Please 𝐋𝐢𝐤𝐞, 𝐒𝐡𝐚𝐫𝐞, 𝐅𝐨𝐥𝐥𝐨𝐰, 𝐂𝐨𝐦𝐦𝐞𝐧𝐭, 𝐒𝐚𝐯𝐞 if you find this post insightful • Ring the 🔔 for notifications.

Which wearable-based measurement do you think is most predictive of mental health outcomes? You might be surprised at the answer. Wearable devices are packed with sophisticated sensors and algorithms. However, while mental health issues are gaining increasing attention, >50% of patients are not recognised or adequately treated. Part of the solution may be found in one of the most basic measures wearables can provide. Researchers used a deep-learning model to analyse activity tracker data from ~9,000 participants. 💡Daily step count emerged as the most crucial variable for detecting mental health issues. The model achieved an AUROC value of 0.717. This metric ranges from 0 to 1, where 1 means perfect prediction, & 0.5 is no better than random. So, a score of 0.717 indicates a good level of accuracy. The findings support previous work linking step count to mental health. For example, walking just 2.5 hours each week could lower the risk of depression by 18% (PMID: 35416941). There are several possible explanations for this, such as the benefits of exercise, bright light, time in nature and meeting other people. Whatever the case, the findings encourage us all to ensure we integrate movement into our daily lives. ❓Have you noticed any associations between your step count and mental wellbeing? #health #wellbeing #performance ------   I'm James, a speaker & scientist who equips knowledge workers with science-based tools to improve their wellbeing & performance.   Like this post? Want to see more? 🔔 Ring the bell on my profile 🔝 Connect with me 📰 💥 Subscribe to my newsletter (link in profile)

Why be stressed and close to burnout when you can measure your heart health in real-time, accurately from your wrist? Biostrap Kairos is setting a new benchmark in medical wearables by delivering accurate clinical-grade data as Real World Evidence (RWE) for biometric data analysis. Measuring heart rate, heart rate variability (HRV), Sleep and recovery. It introduces a revolutionary data visualization of the autonomic nervous system, offering an unprecedented quantification of the sympathetic and parasympathetic branches from a wrist-worn device. Such measurements previously were only available to researchers while using uncomfortable electrocardiogram chest straps. An exciting new innovation we are proud to work with in Europe and beyond. https://lnkd.in/grmzjYqC

This week Google released a #personal #health #LLM - Version of Gemini fine-tuned for personal health applications, particularly in #sleep and #fitness. - #Gemini #Ultra #1.0 chosen for its accuracy on professional exams. - #Mobile and #wearable #devices providing continuous, longitudinal health data. - Capable of interpreting time-series #sensor data from wearables. - Three novel benchmark datasets for personalized insights, expert domain knowledge, and prediction of self-reported sleep quality outcomes. - Model approaches expert performance in #fitness and shows significant improvements in #sleep insights after fine-tuning. - Created 857 detailed case studies in sleep and fitness, curated by domain experts. - Evaluated model on #coaching recommendations, professional examinations, and prediction of #patient-#reported #outcomes (PROs). Evaluation Results - Model's performance in fitness is comparable to experts; significant improvements in sleep insights after fine-tuning. - Model scored 79% on sleep medicine and 88% on fitness exams, exceeding average human expert scores. - Model effectively predicts sleep disruption and impairment from wearable sensor data using multimodal encoding. Methodology - Human experts and automated models assessed the quality of case study responses. - Contextual understanding and realistic recommendations were difficult without full user context. - Fine-tuning improved domain knowledge and personalization, but consistency across sections remains a challenge. - Previous models like Med-PaLM and GPT-4 have shown strong performance in medical question-answering but lacked integration with personal health data. - Multimodal LLMs: Recent advancements in integrating multiple data modalities, including text and medical imaging. - Further Development: Addressing confabulations, improving contextual understanding, and ensuring safe deployment in personal health applications. - Long-Term Goals: Enhancing behavior change and maintaining healthy habits through personalized recommendations. #IMHO - Google should bring back it's PHR - Model should incorporate all personal medical records - Analyze, provide recommendations and contact my PCP/Care team in case of any issues Full report in comments.