Results 41 to 50 of about 757,455 (339)
Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes [PDF]
Digital technologies (e.g., mobile phones) can be used to obtain objective, frequent, and real-world digital phenotypes from individuals. However, modeling these data poses substantial challenges since observational data are subject to confounding and various sources of variabilities.
arxiv
Abstract The present study was conducted as part of a comprehensive work to establish National Diagnostic Reference Levels (NDRLs) in Sri Lanka for the first time. DRLs can be used as an effective optimization tool for identifying unusually high or low patient doses during X‐ray examinations.
Sachith Welarathna+3 more
wiley +1 more source
Digital health: A sociomaterial approach
AbstractThe notion ofdigital healthoften remains an empty signifier, employed strategically for a vast array of demands to attract investments and legitimise reforms. Rather scarce are attempts to develop digital health towards an analytic notion that provides avenues for understanding the ongoing transformations in health care. This article develops a
Benjamin Marent, Flis Henwood
openaire +2 more sources
Social media language of healthcare super-utilizers
An understanding of healthcare super-utilizers’ online behaviors could better identify experiences to inform interventions. In this retrospective case-control study, we analyzed patients’ social media posts to better understand their day-to-day behaviors
Sharath Chandra Guntuku+5 more
doaj +1 more source
Re-imagining health and well-being in low resource African settings using an augmented AI system and a 3D digital twin [PDF]
This paper discusses and explores the potential and relevance of recent developments in artificial intelligence (AI) and digital twins for health and well-being in low-resource African countries. We use the case of public health emergency response to disease outbreaks and epidemic control.
arxiv
Circulating tumor cells: advancing personalized therapy in small cell lung cancer patients
Small cell lung cancer (SCLC) is an aggressive form of lung cancer that spreads rapidly to secondary sites such as the brain and liver. Cancer cells circulating in the blood, “circulating tumor cells” (CTCs), have demonstrated prognostic value in SCLC, and evaluating biomarkers on CTCs could guide treatment decisions such as for PARP inhibitors ...
Prajwol Shrestha+6 more
wiley +1 more source
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems [PDF]
Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications-focused on supply chain, patient management, and capacity building, among other use cases-can improve the health system and public health performance.
arxiv +1 more source
Cell‐free and extracellular vesicle microRNAs with clinical utility for solid tumors
Cell‐free microRNAs (cfmiRs) are small‐RNA circulating molecules detectable in almost all body biofluids. Innovative technologies have improved the application of cfmiRs to oncology, with a focus on clinical needs for different solid tumors, but with emphasis on diagnosis, prognosis, cancer recurrence, as well as treatment monitoring.
Yoshinori Hayashi+6 more
wiley +1 more source
Digitalizing the Microbiome for Human Health [PDF]
The microbiome has recently joined the club of endocrine entities of the human body that are involved in homeostasis and disease. Microbiome characterizations are now typically included in longitudinal and cross-sectional population studies, associations with microbiome features have been made for almost any human disease, and the molecules by which ...
Kirti Nath, Christoph A. Thaiss
openaire +4 more sources
This study demonstrates that KRAS and GNAS mutations are more prevalent in patients with resected intraductal papillary mucinous neoplasms (IPMN) compared to those under clinical surveillance. GNAS mutations significantly differ between the two patient cohorts, indicating that their absence may serve as a potential biomarker to support conservative ...
Christine Nitschke+12 more
wiley +1 more source