What You Should Know:
– A new study by Arcadia, a healthcare data platform, reveals a paradox within the industry: while 80% of healthcare leaders believe most of their data is accurate, a staggering 47%…
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Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing multimodal data…
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Background: ChatGPT by OpenAI emerged as a potential tool for researchers, aiding in various aspects of research. One such application was the identification of relevant studies in systematic reviews. However, a comprehensive comparison of…
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Each day that passes, I’m seeing how ambient clinical voice has become the most impactful part of health IT since the $36 billion of stimulus money for EHR software. What’s most exciting about this…
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Telerehabilitation is emerging as a promising digital method for delivering rehabilitation to Parkinson’s Disease (PD) patients, especially in the early stages to promote brain resilience. This study explores how cognitive reserve (CR), the brain’s…
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As we continue to share more about ambient clinical voice, we're excited to share an interview with Matt Keefer, MD – Chief Medical Informatics Officer at Children's Hopsital Los Angeles (CHLA), and Ed Lee,…
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Background: Motion tracking technologies serve as crucial links between physical activities and health care insights, facilitating data acquisition essential for analyzing and intervening in physical activity. Yet, systematic methodologies for evaluating motion tracking data,…
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Table of Contents
1. Introduction
2. Understanding the Gut-Brain Axis
3. The Role of Machine Learning in Studying Metabolite-Receptor Interactions
4. Research Findings: Uncovering the Link between Metabolites and Alzheimer’s
5. Implications and Future Directions
6. FAQs about Machine Learning,…
As the burden of documentation and various other administrative duties has increased, physician burnout has reached historical levels. In response, EHR vendors are embedding generative AI tools to aid physicians by drafting their responses…
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Digital health innovation is expected to transform healthcare, but it also generates ethical and societal concerns, such as privacy risks, and biases that can compound existing health inequalities. While such concerns are widely recognized,…
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