Artificial intelligence for diabetes care: current and future prospects

The Lancet Diabetes & Endocrinology, Journal Year: 2024, Volume and Issue: 12(8), P. 569 - 595

Published: July 23, 2024

Language: Английский

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Review of Noninvasive Continuous Glucose Monitoring in Diabetics

ACS Sensors, Journal Year: 2023, Volume and Issue: 8(10), P. 3659 - 3679

Published: Oct. 16, 2023

For diabetics, taking regular blood glucose measurements is crucial. However, traditional monitoring methods are invasive and unfriendly to diabetics. Recent studies have proposed a biofluid-based sensing technique that creatively combines wearable devices with noninvasive technology enhance diabetes management. This revolutionary advance in the diagnosis management of diabetes, reflects thoughtful modernization medicine, promotes development digital medicine. paper reviews research progress continuous (CGM), focus on biological liquids replace systems, technical principles detection, output calibration sensor signals. In addition, existing limits CGM systems prospects for future discussed. work serves as resource further promoting systems.

Language: Английский

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Digital Literacy 5.0 to Enhance Multicultural Education

Multicultural Islamic Education Review, Journal Year: 2023, Volume and Issue: 1(2), P. 109 - 179

Published: Dec. 8, 2023

In Digital Literacy 5.0, the intersectionality of digital competence across various domains marks a paradigm shift from traditional siloed approaches to more integrated and holistic framework. This article explores pervasive influence literacy diverse fields including health, medicine, nutrition, medical tourism, economy, biomedical sciences, bioinformatics, telemedicine, telehealth, artificial intelligence (AI), vascular surgery. Emphasizing necessity not just as skill for tool utilization but cornerstone understanding leveraging potential technologies, this comprehensive exploration underscores critical role in enhancing patient outcomes, driving economic growth, spurring innovation, revolutionizing healthcare surgical practices. Through multidisciplinary lens, elucidates indispensability technologically interconnected era, highlighting its implications policy, educational paradigms, future technological advancements.

Language: Английский

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Definitions of digital biomarkers: a systematic mapping of the biomedical literature

BMJ Health & Care Informatics, Journal Year: 2024, Volume and Issue: 31(1), P. e100914 - e100914

Published: April 1, 2024

Background Technological devices such as smartphones, wearables and virtual assistants enable health data collection, serving digital alternatives to conventional biomarkers. We aimed provide a systematic overview of emerging literature on ‘digital biomarkers,’ covering definitions, features citations in biomedical research. Methods analysed all articles PubMed that used biomarker(s)’ title or abstract, considering any study involving humans review, editorial, perspective opinion-based up 8 March 2023. systematically extracted characteristics publications research studies, definitions biomarkers’ mentioned. described the most influential biomarkers their using thematic categorisations Food Drug Administration Biomarkers, EndpointS other Tools framework (ie, type, collection method, purpose biomarker), analysing structural similarity by performing text citation analyses. Results identified 415 biomarker’ between 2014 2023 (median 2021). The majority (283 articles; 68%) were primary Notably, 287 (69%) did not definition Among 128 with there 127 different ones. Of these, 78 considered 56 50 23 included three components. Those had median 6 citations, top 10 each presenting distinct definitions. Conclusions vary significantly, indicating lack consensus this field. Our highlights key defining characteristics, which could guide development more harmonised accepted definition.

Language: Английский

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AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence

Database, Journal Year: 2023, Volume and Issue: 2023

Published: Jan. 1, 2023

The increasing prevalence of diet-related diseases calls for an improvement in nutritional advice. Personalized nutrition aims to solve this problem by adapting dietary and lifestyle guidelines the unique circumstances each individual. With latest advances technology data science, researchers can now automatically collect analyze large amounts from a variety sources, including wearable smart devices. By combining these diverse data, more comprehensive insights human body its be achieved. However, there are still major challenges overcome, need robust standardization methodologies better subject monitoring assessment. Here, we present AI4Food database (AI4FoodDB), which gathers weight loss intervention 100 overweight obese participants during 1 month. Data acquisition involved manual traditional approaches, novel digital methods collection biological samples, obtaining: (i) samples at beginning end intervention, (ii) anthropometric measurements every 2 weeks, (iii) questionnaires two different time points (iv) continuous weeks. To best our knowledge, AI4FoodDB is first public that centralizes food images, sensors, validated same intervention. thus has immense potential fostering advancement automatic artificial intelligence techniques field personalized care. Moreover, collected information will yield valuable into relationships between variables health outcomes, allowing generate test new hypotheses, identify biomarkers endpoints, explore how lifestyle, factors impact health. aim article describe datasets included outline they hold precision research. Database URL https://github.com/AI4Food/AI4FoodDB.

Language: Английский

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Best Time of Day for Strength and Endurance Training to Improve Health and Performance? A Systematic Review with Meta-analysis

Sports Medicine - Open, Journal Year: 2023, Volume and Issue: 9(1)

Published: May 19, 2023

Current recommendations for physical exercise include information about the frequency, intensity, type, and duration of exercise. However, to date, there are no on what time day one should The aim was perform a systematic review with meta-analysis investigate if training in intervention studies influences degree improvements performance or health-related outcomes. databases EMBASE, PubMed, Cochrane Library, SPORTDiscus were searched from inception January 2023. Eligibility criteria that conducted structured endurance and/or strength minimum two sessions per week at least 2 weeks compared between different times using randomized crossover parallel group design. From 14,125 screened articles, 26 articles included which seven also meta-analyses. Both qualitative synthesis quantitative (i.e., meta-analysis) provide little evidence against hypothesis specific leads more performance-related outcomes other times. There some is benefit when testing occur same day, mainly Overall, risk bias most high. current state research provides neither nor being beneficial, but larger effects congruency This improve design execution future this topic. PROSPERO (CRD42021246468).

Language: Английский

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Differential effects of lifestyle interventions on continuous glucose monitoring metrics in persons with type 2 diabetes: a randomized cross-over trial

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Background The effects of lifestyle on glucose metabolism significantly differ between individuals. Hyperglycemia in type 2 diabetes is driven by tissue-specific insulin resistance and reduced beta-cell capacity, whose relative contribution varies persons, potentially affecting the impact interventions. We quantified continuously measured (CGM) metrics evaluated how these phenotypes. Methods Forty persons with wore a CGM for 11 periods 4 days, which 3 control duplicated intervention (2x low carbohydrate diet, 2x Mediterranean walking after each meal ‘active day’ (hourly 5-minute exercise bouts)). Tissue-specific function were using an OGTT. A linear mixed model metrics. Results On overage, active day, but not resulted lower mean (7.74, 8.37, 8.40 8.70 mmol/L, respectively) as compared to (8.66 mmol/L) participants who did restrict intake at baseline. Notably, magnitude direction varied For instance, diet had more beneficial liver- or combined poor than individuals only function. Conclusions average, traditional interventions improved within days. Importantly, appear vary depending phenotype, thus pointing need personalized treatment. Dutch Trial Register: NL7848.

Language: Английский

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Application of Wearable Devices in Diabetes Management

Published: Feb. 19, 2025

Review Application of Wearable Devices in Diabetes Management Zijing Du 1,2,†, Feifan Zhang 1,†, Yifei Ge 1, Yijiang Liu 3, Honghua Yu 2, Yong Wang 4, Rinkoo Dalan 1,5, and Xiaotao Shen 1,3,* 1 Lee Kong Chian School Medicine, Nanyang Technological University, Singapore, 636921, Singapore 2 Guangdong Eye Institute, Department Ophthalmology, Provincial People’s Hospital (Guangdong Academy Medical Sciences), Southern Guangzhou, 510080, China 3 Chemistry, Chemical Engineering Biotechnology, 639798, 4 College Computing Data Science, 637616, 5 Endocrinology, Tan Tock Seng Hospital, 308433, * Correspondence: [email protected] † These authors contributed equally to this work. Received: 17 December 2024; Revised: 20 January 2025; Accepted: 12 February Published: 19 2025 Abstract: mellitus poses a significant global health challenge, impacting hundreds millions worldwide. Effective management prevention complications rely on dynamic, real-time glucose monitoring. This review provides comprehensive overview the rapidly evolving landscape wearable technologies for monitoring diabetes care, with focus cutting-edge advancements their integration artificial intelligence (AI) multi-omics data. We explore diverse approaches, including continuous monitors (CGMs) smartwatches, highlighting contributions tracking physical activity, food intake, medication adherence, direct measurements. Our emphasis is placed role AI systems enabling predictive analytics personalized as well data insights—spanning genomics, proteomics, gut microbiome analyses—to enhance understanding individual metabolism. Given challenges existing methods, such invasiveness, accuracy, accessibility, we discuss future directions, potential smart glasses, advanced models, seamless integration, revolutionize management. offers valuable insights into how technologies, AI, multi-source analysis are shaping precision care.

Language: Английский

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Obesity and nutritional strategies: advancing prevention and management through evidence-based approaches

Food and Agricultural Immunology, Journal Year: 2025, Volume and Issue: 36(1)

Published: April 20, 2025

Language: Английский

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Leveraging continuous glucose monitoring for personalized modeling of insulin-regulated glucose metabolism

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: April 5, 2024

Abstract Continuous glucose monitoring (CGM) is a promising, minimally invasive alternative to plasma measurements for calibrating physiology-based mathematical models of insulin-regulated metabolism, reducing the reliance on in-clinic measurements. However, use CGM glucose, particularly in combination with insulin measurements, develop personalized regulation remains unexplored. Here, we simultaneously measured interstitial concentrations using as well and during an oral tolerance test (OGTT) individuals overweight or obesity calibrate glucose-insulin dynamics. We compared model calibration, evaluated effects fit, identifiability, parameters’ association clinically relevant metabolic indicators. Models calibrated both resulted good parameter estimates associated indicators such sensitivity measures cases. Moreover, practical identifiability parameters was improved estimated glucose. Together these results suggest that may be considered calibration quantify dynamics regulation.

Language: Английский

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