Overview Patient adherence remains one of the toughest challenges in chronic disease management. Generic advice, like “eat healthier” or “exercise more”, often misses the mark, especially when patients face social...
Julia sat quietly, holding a printed brochure about diabetes care while her doctor talked through the usual tips she had heard many times before. At sixty-five, newly widowed and living...
Introduction Oncology data is inherently complex, dispersed, and often unstructured. Extracting actionable insights from Electronic Health Records (EHRs) and other clinical data sources poses a significant challenge for healthcare professionals....
Over the past few years, there’s been a quiet revolution in healthcare AI. The buzz around large language models (LLMs) has pushed them into the limelight, capturing imaginations with their...
In today’s data-rich healthcare landscape, oncology remains among the most complex and information-dense domains. Electronic health records (EHRs), pathology reports, radiology narratives, and clinical trial documents contain vital insights about...
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