Background: Home and telehealth-based interventions are increasingly used in cardiac rehabilitation (CR), a multidisciplinary model of health care. Digital tools such as wearables or digital training diaries are expected to support patients to adhere…
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Source: Samsung
What You Should Know:
– Samsung Electronics and Stanford University today forms a research collaboration with Stanford Medicine aimed at developing health solutions leveraging Samsung’s recently FDA De Novo authorized obstructive sleep apnea (OSA)…
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Source: MyPhenome genetic obesity test
What You Should Know:
– Phenomix Sciences (Phenomix), a commercial precision obesity medicine biotechnology company, today announced the initiation of its first prospective, placebo-controlled clinical study.
– The research will evaluate…
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Background: Maintaining accurate medication records in clinical trials is essential to ensure data validity. Traditional methods such as direct observation, self-reporting, and pill counts have shown limitations that make them inaccurate or impractical. Video-based…
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We developed a practical framework to construct digital twins for predicting and optimizing triple-negative breast cancer (TNBC) response to neoadjuvant chemotherapy (NAC). This study employed 105 TNBC patients from the ARTEMIS trial (NCT02276443, registered…
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The efficacy of telehealth Virtual Reality (VR) for chronic pain, a promising digital intervention, remains underexplored due to methodological challenges. In a 5-week crossover trial, we compared VR to matched audio content control in…
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Sepsis real-time prediction models (SRPMs) provide timely alerts and may improve patient outcomes but face limited clinical adoption due to inconsistent validation methods and potential biases. Comprehensive evaluation, including external full-window validation with model-…
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Preeclampsia (PE), a severe hypertensive disorder during pregnancy, significantly contributes to maternal and neonatal mortality. Existing prediction biomarkers are often invasive and expensive, hindering their widespread application. This study introduces PROMPT (Preeclampsia Risk factor…
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Large Language Models (LLMs) hold promise for medical applications but often lack domain-specific expertise. Retrieval Augmented Generation (RAG) enables customization by integrating specialized knowledge. This study assessed the accuracy, consistency, and safety of LLM-RAG…
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Image by freepik
What You Should Know:
– A new study published in Annals of Internal Medicine from K Health – a Clinical AI platform has shed light on the potential of artificial intelligence (AI) to…
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