BMC Public Health, Год журнала: 2024, Номер 24(1)
Опубликована: Окт. 15, 2024
The global increase in the aging population presents critical challenges for healthcare systems, social security, and economic stability worldwide. Although studies of rate have increased more than four times past two decades, few integrated potential combined effects socio-economic, climatic, environmental factors.
Язык: Английский
Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)
Опубликована: Март 15, 2024
Abstract The purpose of this research is to identify and evaluate the technical, ethical regulatory challenges related use Artificial Intelligence (AI) in healthcare. potential applications AI healthcare seem limitless vary their nature scope, ranging from privacy, research, informed consent, patient autonomy, accountability, health equity, fairness, AI-based diagnostic algorithms care management through automation for specific manual activities reduce paperwork human error. main faced by states regulating were identified, especially legal voids complexities adequate regulation better transparency. A few recommendations made protect data, mitigate risks regulate more efficiently international cooperation adoption harmonized standards under World Health Organization (WHO) line with its constitutional mandate digital public health. European Union (EU) law can serve as a model guidance WHO reform International Regulations (IHR).
Язык: Английский
Процитировано
22
Nature Reviews Genetics, Год журнала: 2024, Номер unknown
Опубликована: Сен. 19, 2024
Язык: Английский
Процитировано
10
PLoS ONE, Год журнала: 2025, Номер 20(1), С. e0317379 - e0317379
Опубликована: Янв. 13, 2025
Introduction Personalised prevention offers a promising tool to reduce the impact of non-communicable diseases, which represent growing health burden worldwide. However, support adoption this innovation it is needed clarify current state available evidence in area. This work aims provide an overview recent publications on personalised for chronic conditions. Materials and methods A scoping review scientific literature from Medline, Scopus, Web Science grey was conducted. Eligible articles included prospective primary studies clinical practice directives preventive approaches diseases published between January 2017 December 2023. The followed Arksey-O’Malley guidelines PRISMA-ScR checklist. Results We identified 121 including 60 cohort 61 directives. extracted 249 approaches, 27% prevention, secondary 46% tertiary prevention. In 50% 67 were studies, mainly targeting cardiovascular primarily focused cancer. Secondary 66 73% concerning breast Tertiary 116 evenly distributed among two publication types focusing mostly cancer diseases. Lastly, most represented level both research (54% 41% respectively). Conclusions Our study highlights significant focus oncology past few years, with numerous recently issued substantial original indicating interest field. distribution across three levels anticipate challenges generating utility falling under
Язык: Английский
Процитировано
1
Frontiers in Digital Health, Год журнала: 2024, Номер 6
Опубликована: Янв. 26, 2024
Introduction A digital twin is a virtual representation of patient's disease, facilitating real-time monitoring, analysis, and simulation. This enables the prediction disease progression, optimization care delivery, improvement outcomes. Methods Here, we introduce framework for type 2 diabetes (T2D) that integrates machine learning with multiomic data, knowledge graphs, mechanistic models. By analyzing substantial clinical dataset, constructed predictive models to forecast progression. Furthermore, graphs were employed elucidate contextualize multiomic–disease relationships. Results discussion Our findings not only reaffirm known targetable components but also spotlight novel ones, unveiled through this integrated approach. The versatile presented in study can be incorporated into system, enhancing our grasp diseases propelling advancement precision medicine.
Язык: Английский
Процитировано
7
Nature Aging, Год журнала: 2024, Номер 4(4), С. 445 - 448
Опубликована: Март 14, 2024
Язык: Английский
Процитировано
6
Advances in Nutrition, Год журнала: 2025, Номер unknown, С. 100377 - 100377
Опубликована: Янв. 1, 2025
Personalized Nutrition (PN) represents an approach aimed at delivering tailored dietary recommendations, products or services to support both prevention and treatment of nutrition-related conditions improve individual health using genetic, phenotypic, medical, nutritional, other pertinent information. However, current approaches have yielded limited scientific success in improving diets mitigating diet-related conditions. In addition, PN currently caters a specific subgroup the population rather than having widespread impact on diet level. Addressing these challenges requires integrating traditional biomedical assessment methods with psycho-behavioral, novel digital diagnostic for comprehensive data collection, which holds considerable promise alleviating present shortcomings. This not only allows deriving personalized goals ("what should be achieved") but also customizing behavioral change processes ("how bring about change"). We herein outline discuss concept "Adaptive Advice Systems" (APNASs), blends from three domains: 1) biomedical/health phenotyping; 2) stable dynamic signatures; 3) food environment data. behavior are envisaged no longer based solely static will adapt dynamically in-time in-situ individual-specific To successfully integrate biomedical, environmental guidance, advanced tools (e.g., sensors) artificial intelligence (AI)-based essential. conclusion, integration established paradigms great potential transitioning its focus elite nutrition widely accessible tool that delivers meaningful benefits general population.
Язык: Английский
Процитировано
0
Analytical Chemistry, Год журнала: 2025, Номер unknown
Опубликована: Фев. 3, 2025
Early detection and precise tumor localization are critical for improving treatment outcomes enabling more targeted minimally invasive therapies as biotechnology evolves. However, endogenous biomarkers from early lesions face significant challenges, such short circulation times blood dilution, which hinder diagnostic efforts. In this study, we present a multimodal nanosensor specifically engineered to target cancer by responding CD44 tumor-associated enzymes within the microenvironment. Following systemic administration, selectively accumulates at disease site, delivering hexaminolevulinate (HAL) produce protoporphyrin IX (PpIX) synthetic biomarker, thus amplifying signals analysis via microfluidics-based device. Concurrently, embedded Gd2O3 nanoclusters facilitate visualization through magnetic resonance imaging (MRI). Beyond diagnosis, innovative methodology supports monitoring of drug response assessment reporter MRI imaging. This multifunctional system addresses limitations in traditional diagnostics, typically rely on sequential biomarker tests, followed Our approach enhances efficiency, minimizes need procedures, promotes accurate personalized care.
Язык: Английский
Процитировано
0
Deleted Journal, Год журнала: 2025, Номер 2(1), С. 100055 - 100055
Опубликована: Фев. 8, 2025
Язык: Английский
Процитировано
0
Journal of Hazardous Materials, Год журнала: 2025, Номер 490, С. 137781 - 137781
Опубликована: Фев. 27, 2025
Язык: Английский
Процитировано
0
Current Plant Biology, Год журнала: 2025, Номер unknown, С. 100466 - 100466
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0