The following is a guest article by Katrina Rice, Chief Delivery Officer at eClinical Solutions
There’s a growing imperative to address social determinants of health (SDoH), particularly to combat health disparities, ensure safe treatments across…
The efficacy of immunotherapy in bladder cancer (BCa) is highly influenced by tumor heterogeneity, underscoring the urgent need for mechanistic insights and precise molecular subtyping. Adenosine-to-inosine RNA editing (AIRE), a critical post-transcriptional mechanism driving…
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Durga Chavali, MHA, Health Care IT Client Advisor Data, AI Strategist, Scholar & Advocate
Large Language Models (LLMs) are rapidly moving from the lab to the administrative suite, promising to revolutionize efficiency in healthcare by…
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Remote photoplethysmography (rPPG) offers a non-invasive means of estimating heart rate in telemedicine settings. Yet its reliability remains uncertain due to the limited diversity and ecological validity of existing benchmark datasets. In this work,…
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From open-office plans to hybrid job options, the modern workplace has evolved for more than just a small sector of employees. The ability to work from anywhere has become widely accessible, but it’s not…
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To address the diversity of skin conditions and the low prevalence of skin cancers, we curated a large hospital dataset (National Information Society Agency, Seoul, Korea [NIA] dataset; 70 diseases, 152,443 images) and collected…
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[SPONSORED] Most EHR talk starts and ends with features. But what happens when an EHR tries to be a community hub, a research lab, and a partner for both solo practices and enterprise groups?In…
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Clinical trainees face limited opportunities to practice medical history-taking skills due to scarce case diversity and access to real patients. To address this, we developed a large language model-based digital patient (LLMDP) system that…
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Human skin tone is influenced by genetic, environmental, and cultural factors and plays a key role in dermatology due to variation in disease presentation across skin tones. The widely used Fitzpatrick scale, based on…
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We explore biases present in publicly available fetal ultrasound (US) imaging datasets, currently at the disposal of researchers to train deep learning (DL) algorithms for prenatal diagnostics. As DL increasingly permeates the field of…
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