⌚Can wearable devices provide the right insights and clinical-quality data to monitor rare diseases and help accelerate medical advancements? 🎥 Watch a recording of our webinar where Empatica and Takeda discuss this important question, the evolution and applications of #WearableTechnology in clinical fields, and share early insights from a groundbreaking study that used Empatica’s EmbracePlus. Hear from Takeda’s Ariel Dowling, and Empatica’s Dr. Rosalind Picard and Marisa Cruz, M.D. Watch here ➡️ https://lnkd.in/dCk56gkM
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🔜 Coming Soon! 🔬✨Get ready for an exhilarating journey into the future of healthcare! 🌟 Join Dr. Angelo Karunaratne at TechnoVerse 2.0 as we unveil The Power of Biomedical Engineering, Wearable Devices, and Innovation! 💡 Mark your calendars for March 12th and be part of the revolution shaping tomorrow's healthcare landscape! 🚀 Don't miss out on this insightful session! #CINEC #IEEE_Student_branch #HealthTechRevolution #TechnoVerse
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Learn more about improving DEI in healthcare while also enhancing patient outcomes in this article from Medical Economics. Explore how stress reduction for medical providers, coupled with wearable technology, holds the key to a healthier workforce. #DEI https://bit.ly/42rsx6j
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Director of Business Development @ Sibel Health | Wearable Sensor Technology | Digital Health Technologies | Clinical Trials & Research
Our sensors' breadth of applications to clinical research is driven by our unparalleled pursuit of novel endpoints (cough, scratch, swallow) and industry-leading measurement performance capabilities. Exciting time to be at a company focused on the transformative potential of developing devices tailored to specific patient needs and meaningful patient outcomes. #clinicalresearch #wearables #pharma #clinicaldevelopment #meddevice #cysticfibrosis #atopicdermatitis #respiratoryhealth #clinicaltechnology #digitalhealthtechnology
Wearable technology is reshaping the landscape of clinical research. With continuous vital signs monitoring becoming more accessible, researchers have a wealth of data at their fingertips. Clinical researchers, envision the opportunities for conducting more comprehensive and insightful studies. From remote clinical trials to real-world evidence generation, Sibel’s wearable devices are revolutionizing how we collect and analyze data. Let's embrace this technology-driven future and drive forward the frontiers of medical research! Learn more about our sensors at https://lnkd.in/gp8NNDJ6 #ClinicalResearch #Innovation #MedTech #ClinicalTrials
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🚀 Dive into the future of healthcare with Adaptive Life Science! Our latest blog delves into the groundbreaking technologies shaping the future of the Medical Device industry. From wearable devices to AI-driven diagnostics, discover how innovation is revolutionizing patient care. 💡 🔗 Don't miss out, read the full article here: https://lnkd.in/geyRA6Zf #MedicalTechnology #Innovation #Healthcare #EmergingTech
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Are wearable activity trackers an effective tool for increasing patient activity during hospitalization? Listen as experts discuss their findings with @JAMANetworkOpen https://lnkd.in/gEvssNiK
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Hey Chamath Palihapitiya, we (at Caltech and Esperto Medical) saw your post today! We'd love to talk with you. We can prove from first-principles physics, that the *only way* to measure true blood pressure (no references, no inference learning -- human or machine, no calibration) is with Resonance Sonamanometry. We measure blood pressure at 100Hz (10x faster than the maximal rate of change of physiology -- and well above the required Nyquist Rate of sampling), and from this waveform can trivially derive other metrics (e.g. respiration, pulse, etc). The device in the paper is from 2022 -- here is what the newer, wearable version looks like. We intend for our first device to be indicated for critical care and surgical use cases; our second for at home use for RPM (imagine just the strap of your favorite smart watch -- we won't be needing to build a watch head). #bloodpressure #caltech Jeff Huber, Philip Nelson, Mark Stevenson, Marty Waters, Vern Norviel, Michael Frumkin Apple, Google, BD, Edwards Lifesciences, Masimo, Medtronic, Boston Scientific, Dexcom, Abbott, GE HealthCare, Philips
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🌟 Exciting Developments in Smart Health! 🌟 Recent strides in electrocardiogram (ECG) diagnosis have fuelled the need for smarter, wearable solutions. The latest research done in Prof. Atif Shamim’s group at KAUST unveils groundbreaking advancements in this field. Introducing fully screen-printed, gentle-to-skin wet ECG electrodes integrated with scaled-down PCBs in 3D-printed antenna-on-packages (AoP), these electrodes significantly reduce metal and gel usage while extending wireless communication range. Plus, they demonstrate remarkable accuracy in recording ECG data, aligning closely with commercial systems. Shamim’s study, validated by cardiology and family medicine experts, confirms their efficacy for both monitoring and diagnostic purposes. These innovations hold immense potential for clinical applications and can streamline mass production through screen-printing methods. ➡️ Read the full article here in ACS Nano: https://lnkd.in/eY4RnZTu #HealthTech #smarthealth #ECG #Innovation #HealthcareRevolution Sakandar Rauf Rana Muhammad Bilal Jiajun Li Mohammad Vaseem, PhD Adeel Nazir Ahmad
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Innovation is key when it comes to breaking down barriers to diversity and equity in clinical trials. From wearable devices that track vital signs to virtual reality simulations for informed consent, innovative solutions have the potential to revolutionize the way we conduct clinical trials. Achieving diversity and equity in clinical trial recruitment requires a multi-faceted approach that leverages the power of data, digital health, and innovation. Learn more: https://hubs.la/Q02pwzHt0 #dei #healthequity #diversityandinclusion #digitalhealth #healthinnovation
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Build Predictive Models | Data Analyst | Co-Founder of Costrick | Designing Nalyst Library | YouTube @AnalyticalHarry
Single-LiDAR-based approach for human pose and shape estimation in large-scale free environments, overcoming the limitations of light conditions and wearable devices. It utilizes a distillation mechanism and temporal-spatial feature interaction optimizer to address occlusion and noise. Additionally, a significant multi-person human motion dataset, FreeMotion, is proposed to support in-the-wild human pose and shape (HPS) research. Extensive experiments across various datasets demonstrate the robustness and effectiveness of the method, highlighting its state-of-the-art performance and generalization capability. #datascience #deeplearning #machinelearning #artificialintelligence
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