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Skip search results from other journals and go to results- 5355 Journal of Medical Internet Research
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From the extended-cosine models, we extracted measures of 24-hour robustness (pseudo-F statistic, indicating how well the observed data fits the 24-hour curve); activity onset time (up-mesor, the time which the modeled activity level passes the middle modeled rhythm height prior to the peak); and activity offset time (down-mesor or the time which the modeled activity level passes the middle modeled rhythm height prior to the nadir).
JMIR Aging 2025;8:e67294
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Malnutrition is commonly observed among individuals with gastrointestinal (GI) cancer and can severely affect disease prognosis, quality of life, and survival [1,2]. Individuals with GI cancer are at high risk of developing peritoneal disease (PD), the metastasis of cancer to the abdominal cavity, which occurs in about 40% of patients with GI cancer [3].
JMIR Cancer 2025;11:e67108
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Amid financial crises, health care awareness and education are known to be effective in reducing the disease burden rate [8]. There are several traditional efforts made by the Government of Pakistan Ministry of Health in the past to improve disease awareness and reduce the patient burden [24]. These include the following:
Engaging community health workers in disseminating health information, especially in rural areas.
JMIR Hum Factors 2025;12:e65745
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Large language models (LLMs) power a new generation of natural language processing (NLP) whereby deep neural networks are trained on a massive corpus of human text that are then deconstructed into vectorized embeddings that depict linguistic relationships in a numerical format appropriate for easy analysis [9].
JMIR Form Res 2025;9:e64544
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In addition, researchers argue that a focus on the detection of changes in family caregivers’ needs throughout disease progression is important [20,22].
Therefore, the aim of this study was to develop a digital unmet needs assessment tool that can be used in primary care settings. We conducted the study in collaboration with informal and formal caregivers and other stakeholders.
JMIR Aging 2025;8:e59942
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If subsequent multi-factor analysis is required, multiple linear regression or logistic regression models are selected according to continuous-type or subtype dependent variables. Multiple interpolations were used for the analysis of missing data. P
The study used mixed-effects linear regression models to examine the preliminary impact of the intervention while adjusting baseline characteristics.
JMIR Mhealth Uhealth 2025;13:e59228
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It is a serious health problem and one of the most common causes of death and acquired disability among adults [2], having “(...) the greatest disabling impact of any chronic disease” [3]. Further, only a small proportion of patients die in the acute stroke phase, leaving the majority with moderate to severe disability that can be mitigated through early and sustained rehabilitation interventions [4].
Interact J Med Res 2025;14:e59172
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Striking a Balance: Innovation, Equity, and Consistency in AI Health Technologies
This paper addresses the ambiguity faced by innovators and proposes models for evidence strategies, particularly focusing on the distinct regulatory challenges faced by the biopharma industry.
At the time of this writing, Gartner [4] has placed the increasingly popular generative AI technology at the peak of inflated expectations for emerging technologies in 2024.
JMIR AI 2025;4:e57421
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Until lately, the only available therapies for Alzheimer disease (AD) were related to symptomatic presentation, and this situation remains in most countries. Regulatory approvals of aducanumab (2021), lecanemab (2023), and donanemab (2024) in the United States have marked a new era in AD treatment, as these antibodies demonstrated the potential to modify disease progression by targeting amyloid β (Aβ), which involves toxic peptides deemed crucial in the AD pathophysiology [1].
J Med Internet Res 2025;27:e68454
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They automatically extract key clinical features, dynamically matching them with disease-symptom associations in knowledge graphs. CDSS also incorporate evidence-based medical rules and updated clinical guidelines to emulate expert reasoning and assess potential causes, complications, and rare disease risks. Through interactive visualization interfaces, they present diagnostic rationales, risk alerts, and recommended diagnostic pathways, ensuring decision logic remains fully traceable [3].
J Med Internet Res 2025;27:e62732
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