e.g. mhealth
Search Results (1 to 10 of 57 Results)
Download search results: CSV END BibTex RIS
Skip search results from other journals and go to results- 17 JMIRx Med
- 11 JMIR Research Protocols
- 9 JMIR Bioinformatics and Biotechnology
- 6 Journal of Medical Internet Research
- 3 JMIRx Bio
- 2 JMIR Biomedical Engineering
- 2 JMIR Formative Research
- 1 Interactive Journal of Medical Research
- 1 JMIR Cancer
- 1 JMIR Human Factors
- 1 JMIR Medical Education
- 1 JMIR Medical Informatics
- 1 JMIR Pediatrics and Parenting
- 1 JMIR Public Health and Surveillance
- 0 Medicine 2.0
- 0 iProceedings
- 0 JMIR mHealth and uHealth
- 0 JMIR Serious Games
- 0 JMIR Mental Health
- 0 JMIR Rehabilitation and Assistive Technologies
- 0 JMIR Preprints
- 0 JMIR Challenges
- 0 JMIR Diabetes
- 0 JMIR Data
- 0 JMIR Cardio
- 0 Journal of Participatory Medicine
- 0 JMIR Dermatology
- 0 JMIR Aging
- 0 JMIR Perioperative Medicine
- 0 JMIR Nursing
- 0 JMIR Infodemiology
- 0 Transfer Hub (manuscript eXchange)
- 0 JMIR AI
- 0 JMIR Neurotechnology
- 0 Asian/Pacific Island Nursing Journal
- 0 Online Journal of Public Health Informatics
- 0 JMIR XR and Spatial Computing (JMXR)
Cardiac Repair and Regeneration via Advanced Technology: Narrative Literature Review
Combined AI models will address highly complicated cardiovascular clinical genetics [65]. AI profoundly apprehends complex patterns in imaging profiles and offers quantitative assessments of radiographic properties, serving as a valuable tool for enhancing imaging postprocessing. For instance, a combined convolutional neural network and recurrent neural network has achieved enhanced accuracy in predicting stenosis (≥50%) upon examining genetic variables grouped into training and testing samples [32,66].
JMIR Biomed Eng 2025;10:e65366
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Exploring Molecular Genetics Research on Obesity in Malaysia: Protocol for a Scoping Review
Additionally, genetic variants linked to abdominal obesity have been found to predict waist circumference regain after weight loss, emphasizing the role of genetics in long-term weight management [27]. Studies such as the OBEGEN study underscore the importance of integrating genetic testing with clinical data to enhance the predictability of weight loss outcomes following bariatric surgery [28]. These findings are corroborated by subsequent research [29,30].
JMIR Res Protoc 2024;13:e60838
Download Citation: END BibTex RIS
Candidates were identified by genetics specialists using convenience sampling, and those individuals who expressed verbal interest in participation were scheduled for a 1-time phone interview. The recruitment strategy was agnostic as to whether candidates were intensive or casual users of social media, and even individuals who preferred not to use DRSGs at all were invited to participate.
JMIR Hum Factors 2024;11:e57833
Download Citation: END BibTex RIS
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Go back to the top of the page Skip and go to footer section
Reference 22: The transformation of medical genetics by clinical genomics: hubris meets humilitygenetics
JMIR Bioinform Biotech 2024;5:e55632
Download Citation: END BibTex RIS
Polygenic disorders are more frequent, causing 38% of ischemic stroke cases, and their designation is a rapidly evolving field of current stroke genetics. Recent advances in human genetics provide opportunities for personalized stroke prevention and unknown cure options. Some authors have boosted the application of stroke gene panels for stroke hazard evaluation and stroke research. Ilinca et al [4] have created stroke gene panels for research and clinical practice.
JMIR Bioinform Biotech 2024;5:e56884
Download Citation: END BibTex RIS