Result 1 - 10 of total 258
Advances in geriatric medicine and research
2019 Volume 1
| Language | English |
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| Publishing date | 2019-08-19 |
| Publishing country | England |
| Document type | Journal Article |
| DOI | 10.20900/agmr20190010 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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International psychogeriatrics
2021 Volume 34, Issue 11, Page(s) 959–961
| Language | English |
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| Publishing date | 2021-10-01 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 1038825-4 |
| ISSN | 1741-203X ; 1041-6102 |
| ISSN (online) | 1741-203X |
| ISSN | 1041-6102 |
| DOI | 10.1017/S1041610221002581 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Zs.A 2621: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular Jg. 1995 - 2021: Lesesall (2.OG) ab Jg. 2022: Lesesaal (EG) |
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| Zs.MO 513: Show issues |
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Frontiers in digital health
2022 Volume 3, Page(s) 751629
Abstract: Digital biomarker" is a term broadly and indiscriminately applied and often limited in its conceptualization to mimic well-established biomarkers as defined and approved by regulatory agencies such as the United States Food and Drug Administration (FDA). ...
| Abstract | "Digital biomarker" is a term broadly and indiscriminately applied and often limited in its conceptualization to mimic well-established biomarkers as defined and approved by regulatory agencies such as the United States Food and Drug Administration (FDA). There is a practical urgency to revisit the definition of a digital biomarker and expand it beyond current methods of identification and validation. Restricting the promise of digital technologies within the realm of currently defined biomarkers creates a missed opportunity. A whole new field of prognostic and early diagnostic digital biomarkers driven by data science and artificial intelligence can break the current cycle of high healthcare costs and low health quality that is being driven by today's chronic disease detection and treatment approaches. This new class of digital biomarkers will be dynamic and require developing new FDA approval pathways and next-generation gold standards. |
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| Language | English |
| Publishing date | 2022-01-13 |
| Publishing country | Switzerland |
| Document type | Journal Article |
| ISSN | 2673-253X |
| ISSN (online) | 2673-253X |
| DOI | 10.3389/fdgth.2021.751629 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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medRxiv : the preprint server for health sciences
2023
Abstract: Development of deep learning models to assess the degree of cognitive impairment on magnetic resonance imaging (MRI) scans has high translational significance. Performance of such models is often affected by potential variabilities stemming from ... ...
| Abstract | Development of deep learning models to assess the degree of cognitive impairment on magnetic resonance imaging (MRI) scans has high translational significance. Performance of such models is often affected by potential variabilities stemming from independent protocols for data generation, imaging equipment, radiology artifacts, and demographic distributional shifts. Domain generalization (DG) frameworks have the potential to overcome these issues by learning signal from one or more source domains that can be transferable to unseen target domains. We developed an approach that leverages model interpretability as a means to improve generalizability of classification models across multiple cohorts. Using MRI scans and clinical diagnosis obtained from four independent cohorts (Alzheimer's Disease Neuroimaging Initiative (ADNI, |
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| Language | English |
| Publishing date | 2023-09-25 |
| Publishing country | United States |
| Document type | Preprint |
| DOI | 10.1101/2023.09.22.23295984 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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American journal of epidemiology
2021 Volume 190, Issue 12, Page(s) 2515–2516
| MeSH term(s) | Body Mass Index ; Dementia/epidemiology ; Humans |
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| Language | English |
| Publishing date | 2021-04-08 |
| Publishing country | United States |
| Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Comment |
| ZDB-ID | 2937-3 |
| ISSN | 1476-6256 ; 0002-9262 |
| ISSN (online) | 1476-6256 |
| ISSN | 0002-9262 |
| DOI | 10.1093/aje/kwab097 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Un I Zs.310: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
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2023 Volume 101, Issue 23, Page(s) 1058–1067
Abstract: Recent advancements in generative artificial intelligence, particularly using large language models (LLMs), are gaining increased public attention. We provide a perspective on the potential of LLMs to analyze enormous amounts of data from medical records ...
| Abstract | Recent advancements in generative artificial intelligence, particularly using large language models (LLMs), are gaining increased public attention. We provide a perspective on the potential of LLMs to analyze enormous amounts of data from medical records and gain insights on specific topics in neurology. In addition, we explore use cases for LLMs, such as early diagnosis, supporting patient and caregivers, and acting as an assistant for clinicians. We point to the potential ethical and technical challenges raised by LLMs, such as concerns about privacy and data security, potential biases in the data for model training, and the need for careful validation of results. Researchers must consider these challenges and take steps to address them to ensure that their work is conducted in a safe and responsible manner. Despite these challenges, LLMs offer promising opportunities for improving care and treatment of various neurologic disorders |
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| MeSH term(s) | Humans ; Artificial Intelligence ; Neurology ; Language ; Medical Records ; Research Personnel |
| Language | English |
| Publishing date | 2023-12-04 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 207147-2 |
| ISSN | 1526-632X ; 0028-3878 |
| ISSN (online) | 1526-632X |
| ISSN | 0028-3878 |
| DOI | 10.1212/WNL.0000000000207967 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Ui II Zs.153: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
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| Zs.MG 18: Show issues | ||||
| Zs.MO 374: Show issues |
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Alzheimer's & dementia : the journal of the Alzheimer's Association
2022 Volume 19, Issue 6, Page(s) 2520–2527
Abstract: Background: Obesity has been associated with increased risk of dementia with several studies reporting a reverse causality, with weight loss preceding the onset of dementia.: Methods: Two thousand forty-five non-demented Framingham Offspring ... ...
| Abstract | Background: Obesity has been associated with increased risk of dementia with several studies reporting a reverse causality, with weight loss preceding the onset of dementia. Methods: Two thousand forty-five non-demented Framingham Offspring participants, aged 30 to 50 years, were included to determine effect of body mass index (BMI) decline patterns from mid- to late life over a 39-year follow-up. Group-based trajectory models were used to create BMI trajectories. Results: Decreasing BMI trends were associated with higher risk of developing dementia in late life. Decliners with first early mid-life increasing and then later mid-life declining patterns of BMI were at greater increased risk of dementia compared to non-decliners (hazard ratio 3.84, 95% confidence interval 1.39-10.60). Conclusion: While patterns of decline in BMI were associated with dementia, a subgroup with a pattern of initial increasing BMI followed by declining BMI, both occurring within mid-life, appeared to be central to declining BMI-dementia association. Further validations are needed to provide robust conclusions. |
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| MeSH term(s) | Humans ; Body Mass Index ; Dementia/etiology ; Follow-Up Studies ; Risk Factors ; Obesity/epidemiology ; Obesity/complications |
| Language | English |
| Publishing date | 2022-12-15 |
| Publishing country | United States |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural |
| ZDB-ID | 2211627-8 |
| ISSN | 1552-5279 ; 1552-5260 |
| ISSN (online) | 1552-5279 |
| ISSN | 1552-5260 |
| DOI | 10.1002/alz.12839 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Zs.A 6316: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
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| Zs.MO 540: Show issues |
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Alzheimer's & dementia (Amsterdam, Netherlands)
2024 Volume 16, Issue 1, Page(s) e12569
Abstract: The relationship between sex-specific blood biomarkers and memory changes in middle-aged adults remains unclear. We aimed to investigate this relationship using the data from the Framingham Heart Study (FHS). We conducted association analysis, partial ... ...
| Abstract | The relationship between sex-specific blood biomarkers and memory changes in middle-aged adults remains unclear. We aimed to investigate this relationship using the data from the Framingham Heart Study (FHS). We conducted association analysis, partial correlation analysis, and causal dose-response curves using blood biomarkers and other data from 793 middle-aged participants (≤ 60 years) from the FHS Offspring Cohort. The results revealed associations of adiponectin and fasting blood glucose with midlife memory change, along with a U-shaped relationship of high-density lipoprotein cholesterol with memory change. No significant associations were found for the other blood biomarkers (e.g., amyloid beta protein 42) with memory change. To our knowledge, this is the first sex-specific network analysis of blood biomarkers related to midlife memory change in a prospective cohort study. Our findings highlight the importance of targeting cardiometabolic risks and the need to validate midlife-specific biomarkers that can accelerate the development of primary preventive strategies. |
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| Language | English |
| Publishing date | 2024-03-27 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 2832898-X |
| ISSN | 2352-8729 |
| ISSN | 2352-8729 |
| DOI | 10.1002/dad2.12569 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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Alzheimer's & dementia (Amsterdam, Netherlands)
2024 Volume 16, Issue 1, Page(s) e12574
Abstract: Introduction: Alzheimer's disease (AD) is a heterogeneous disorder characterized by complex underlying neuropathology that is not fully understood. This study aimed to identify cognitive progression subtypes and examine their correlation with clinical ... ...
| Abstract | Introduction: Alzheimer's disease (AD) is a heterogeneous disorder characterized by complex underlying neuropathology that is not fully understood. This study aimed to identify cognitive progression subtypes and examine their correlation with clinical outcomes. Methods: Participants of this study were recruited from the Framingham Heart Study. The Subtype and Stage Inference (SuStaIn) method was used to identify cognitive progression subtypes based on eight cognitive domains. Results: Three cognitive progression subtypes were identified, including verbal learning (Subtype 1), abstract reasoning (Subtype 2), and visual memory (Subtype 3). These subtypes represent different domains of cognitive decline during the progression of AD. Significant differences in age of onset among the different subtypes were also observed. A higher SuStaIn stage was significantly associated with increased mortality risk. Discussion: This study provides a characterization of AD heterogeneity in cognitive progression, emphasizing the importance of developing personalized approaches for risk stratification and intervention. Highlights: We used the Subtype and Stage Inference (SuStaIn) method to identify three cognitive progression subtypes.Different subtypes have significant variations in age of onset.Higher stages of progression are associated with increased mortality risk. |
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| Language | English |
| Publishing date | 2024-03-21 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 2832898-X |
| ISSN | 2352-8729 |
| ISSN | 2352-8729 |
| DOI | 10.1002/dad2.12574 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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Alzheimer's & dementia : the journal of the Alzheimer's Association
2023 Volume 19, Issue 10, Page(s) 4357–4366
Abstract: Introduction: Long-term blood pressure (BP) measures, such as visit-to-visit BP variability (BPV) and cumulative BP, are strong indicators of cardiovascular risks. This study modeled up to 20 years of BP patterns representative of midlife by using BPV ... ...
| Abstract | Introduction: Long-term blood pressure (BP) measures, such as visit-to-visit BP variability (BPV) and cumulative BP, are strong indicators of cardiovascular risks. This study modeled up to 20 years of BP patterns representative of midlife by using BPV and cumulative BP, then examined their associations with development of dementia in later life. Methods: For 3201 individuals from the Framingham Heart Study, multivariate logistic regression analyses were performed to examine the association between long-term BP patterns during midlife and the development of dementia (ages ≥ 65). Results: After adjusting for covariates, every quartile increase in midlife cumulative BP was associated with a sequential increase in the risk of developing dementia (e.g., highest quartile of cumulative systolic blood pressure had approximately 2.5-fold increased risk of all-cause dementia). BPV was not significantly associated with dementia. Discussion: Findings suggest that cumulative BP over the course of midlife predicts risk of dementia in later life. HIGHLIGHTS Long-term blood pressure (BP) patterns are strong indicators of vascular risks. Cumulative BP and BP variability (BPV) were used to reflect BP patterns across midlife. High cumulative BP in midlife is associated with increased dementia risk. Visit-to-visit BPV was not associated with the onset of dementia. |
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| MeSH term(s) | Humans ; Blood Pressure/physiology ; Risk Factors ; Hypertension/epidemiology ; Hypertension/complications ; Longitudinal Studies ; Dementia/epidemiology ; Dementia/complications |
| Language | English |
| Publishing date | 2023-07-02 |
| Publishing country | United States |
| Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2211627-8 |
| ISSN | 1552-5279 ; 1552-5260 |
| ISSN (online) | 1552-5279 |
| ISSN | 1552-5260 |
| DOI | 10.1002/alz.13356 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
| Zs.A 6316: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
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| Zs.MO 540: Show issues |
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