LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 164

Search options

  1. Book ; Online: Public Health Genomics

    Lacaze, Paul / Baynam, Gareth

    2019  

    Keywords Medicine ; Public health & preventive medicine ; Genomics ; precision phenotyping biomarkers ; prevention ; translation ; Public Health
    Size 1 electronic resource (88 pages)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021230317
    ISBN 9782889630097 ; 2889630099
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    More links

    Kategorien

  2. Book ; Online: Precision Public Health

    Semmens, James / Gudes, Ori / Baynam, Gareth / Bellgard, Matthew / Dawkins, Hugh / Weeramanthri, Tarun

    2018  

    Abstract: Precision Public Health is a new and rapidly evolving field, that examines the application of new technologies to public health policy and practice. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, ... ...

    Abstract Precision Public Health is a new and rapidly evolving field, that examines the application of new technologies to public health policy and practice. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, health informatics, big data, predictive analytics and communications. The hope is that these new technologies will strengthen preventive health, improve access to health care, and reach disadvantaged populations in all areas of the world. But what are the downsides and what are the risks, and how can we ensure the benefits flow to those population groups most in need, rather than simply to those individuals who can afford to pay? This is the first collection of theoretical frameworks, analyses of empirical data, and case studies to be assembled on this topic, published to stimulate debate and promote collaborative work
    Keywords Medicine (General) ; Public aspects of medicine
    Size 1 electronic resource (149 p.)
    Publisher Frontiers Media SA
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT020101816
    ISBN 9782889455010 ; 2889455017
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    More links

    Kategorien

  3. Article: Stigma associated with genetic testing for rare diseases-causes and recommendations.

    Baynam, Gareth / Gomez, Roy / Jain, Ritu

    Frontiers in genetics

    2024  Volume 15, Page(s) 1335768

    Abstract: Rare disease (RD) is a term used to describe numerous, heterogeneous diseases that are geographically disparate. Approximately 400 million people worldwide live with an RD equating to roughly 1 in 10 people, with 71.9% of RDs having a genetic origin. RDs ...

    Abstract Rare disease (RD) is a term used to describe numerous, heterogeneous diseases that are geographically disparate. Approximately 400 million people worldwide live with an RD equating to roughly 1 in 10 people, with 71.9% of RDs having a genetic origin. RDs present a distinctive set of challenges to people living with rare diseases (PLWRDs), their families, healthcare professionals (HCPs), healthcare system, and societies at large. The possibility of inheriting a genetic disease has a substantial social and psychological impact on affected families. In addition to other concerns, PLWRDs and their families may feel stigmatized, experience guilt, feel blamed, and stress about passing the disease to future generations. Stigma can affect all stages of the journey of PLWRDs and their families, from pre-diagnosis to treatment access, care and support, and compliance. It adversely impacts the quality of life of RD patients. To better explore the impact of stigma associated with genetic testing for RDs, we conducted a literature search on PubMed and Embase databases to identify articles published on stigma and RDs from January 2013 to February 2023. There is a dearth of literature investigating the dynamics of stigma and RD genetic testing. The authors observed that the research into the implications of stigma for patient outcomes in low- and middle-income countries (LMICs) and potential interventions is limited. Herein, the authors present a review of published literature on stigma with a focus on RD genetic testing, the associated challenges, and possible ways to address these.
    Language English
    Publishing date 2024-04-04
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2024.1335768
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article: Consideration of a Legislative Framework to Support the Diagnostic Odyssey Commonly Encountered in the Instance of Rare Disease.

    Taliangis, Marisa / Baynam, Gareth

    Journal of law and medicine

    2020  Volume 27, Issue 3, Page(s) 634–644

    Abstract: The diagnostic odyssey refers to the struggle to achieve a diagnosis for a medical condition in the face of significant implications if a diagnosis is not made. It is a common experience for people living with a rare disease. Western Australia has led ... ...

    Abstract The diagnostic odyssey refers to the struggle to achieve a diagnosis for a medical condition in the face of significant implications if a diagnosis is not made. It is a common experience for people living with a rare disease. Western Australia has led the way in Australia in being the first State to establish a rare disease policy framework and an Undiagnosed Diseases Program (UDP). The UDP includes an expert panel made up of various specialists brought together with the aim of arriving at a diagnosis through collaboration. This article looks at the possibility of enhancing initiatives such as the UDP through a legislative framework. Relieving the medical, financial and emotional implications of the diagnostic odyssey is particularly important when one considers that taken together, rare diseases affect millions of people globally.
    MeSH term(s) Australia ; Humans ; Rare Diseases ; Undiagnosed Diseases ; Western Australia
    Language English
    Publishing date 2020-05-14
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 1236328-5
    ISSN 1320-159X
    ISSN 1320-159X
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: Editorial: Congenital anomalies: State of the art and the new paradigms for a precision public health approach.

    Khoshnood, Babak / Baynam, Gareth / Loane, Maria / Rissmann, Anke / Botto, Lorenzo

    Frontiers in pediatrics

    2022  Volume 10, Page(s) 968923

    Language English
    Publishing date 2022-07-18
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2022.968923
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: Surfacing undiagnosed disease: consideration, counting and coding.

    Baxter, Megan F / Hansen, Michele / Gration, Dylan / Groza, Tudor / Baynam, Gareth

    Frontiers in pediatrics

    2023  Volume 11, Page(s) 1283880

    Abstract: The diagnostic odyssey for people living with rare diseases (PLWRD) is often prolonged for myriad reasons including an initial failure to consider rare disease and challenges to systemically and systematically identifying and tracking undiagnosed ... ...

    Abstract The diagnostic odyssey for people living with rare diseases (PLWRD) is often prolonged for myriad reasons including an initial failure to consider rare disease and challenges to systemically and systematically identifying and tracking undiagnosed diseases across the diagnostic journey. This often results in isolation, uncertainty, a delay to targeted treatments and increase in risk of complications with significant consequences for patient and family wellbeing. This article aims to highlight key time points to consider a rare disease diagnosis along with elements to consider in the potential operational classification for undiagnosed rare diseases during the diagnostic odyssey. We discuss the need to create a coding framework that traverses all stages of the diagnostic odyssey for PLWRD along with the potential benefits this will have to PLWRD and the wider community.
    Language English
    Publishing date 2023-10-25
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2711999-3
    ISSN 2296-2360
    ISSN 2296-2360
    DOI 10.3389/fped.2023.1283880
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article ; Online: An evaluation of GPT models for phenotype concept recognition.

    Groza, Tudor / Caufield, Harry / Gration, Dylan / Baynam, Gareth / Haendel, Melissa A / Robinson, Peter N / Mungall, Christopher J / Reese, Justin T

    BMC medical informatics and decision making

    2024  Volume 24, Issue 1, Page(s) 30

    Abstract: Objective: Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field. These processes rely on ... ...

    Abstract Objective: Clinical deep phenotyping and phenotype annotation play a critical role in both the diagnosis of patients with rare disorders as well as in building computationally-tractable knowledge in the rare disorders field. These processes rely on using ontology concepts, often from the Human Phenotype Ontology, in conjunction with a phenotype concept recognition task (supported usually by machine learning methods) to curate patient profiles or existing scientific literature. With the significant shift in the use of large language models (LLMs) for most NLP tasks, we examine the performance of the latest Generative Pre-trained Transformer (GPT) models underpinning ChatGPT as a foundation for the tasks of clinical phenotyping and phenotype annotation.
    Materials and methods: The experimental setup of the study included seven prompts of various levels of specificity, two GPT models (gpt-3.5-turbo and gpt-4.0) and two established gold standard corpora for phenotype recognition, one consisting of publication abstracts and the other clinical observations.
    Results: The best run, using in-context learning, achieved 0.58 document-level F1 score on publication abstracts and 0.75 document-level F1 score on clinical observations, as well as a mention-level F1 score of 0.7, which surpasses the current best in class tool. Without in-context learning, however, performance is significantly below the existing approaches.
    Conclusion: Our experiments show that gpt-4.0 surpasses the state of the art performance if the task is constrained to a subset of the target ontology where there is prior knowledge of the terms that are expected to be matched. While the results are promising, the non-deterministic nature of the outcomes, the high cost and the lack of concordance between different runs using the same prompt and input make the use of these LLMs challenging for this particular task.
    MeSH term(s) Humans ; Knowledge ; Language ; Machine Learning ; Phenotype ; Rare Diseases
    Language English
    Publishing date 2024-01-31
    Publishing country England
    Document type Journal Article
    ZDB-ID 2046490-3
    ISSN 1472-6947 ; 1472-6947
    ISSN (online) 1472-6947
    ISSN 1472-6947
    DOI 10.1186/s12911-024-02439-w
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article: Editorial: Public Health Genomics.

    Lacaze, Paul / Baynam, Gareth

    Frontiers in public health

    2019  Volume 7, Page(s) 142

    Language English
    Publishing date 2019-06-06
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2711781-9
    ISSN 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2019.00142
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: 3D facial analysis for rare disease diagnosis and treatment monitoring: Proof-Of-Concept plan for hereditary angioedema.

    Jamuar, Saumya / Palmer, Richard / Dawkins, Hugh / Lee, Dae-Wook / Helmholz, Petra / Baynam, Gareth

    PLOS digital health

    2023  Volume 2, Issue 3, Page(s) e0000090

    Abstract: Rare diseases pose a diagnostic conundrum to even the most experienced clinicians around the world. The technology could play an assistive role in hastening the diagnosis process. Data-driven methodologies can identify distinctive disease features and ... ...

    Abstract Rare diseases pose a diagnostic conundrum to even the most experienced clinicians around the world. The technology could play an assistive role in hastening the diagnosis process. Data-driven methodologies can identify distinctive disease features and create a definitive diagnostic spectrum. The healthcare professionals in developed and developing nations would benefit immensely from these approaches resulting in quicker diagnosis and enabling early care for the patients. Hereditary Angioedema is one such rare disease that requires a lengthy diagnostic cascade ensuing massive patient inconvenience and cost burden on the healthcare system. It is hypothesized that facial analysis with advanced imaging and algorithmic association can create an ideal diagnostic peer to the clinician while assimilating signs and symptoms in the hospital. 3D photogrammetry has been applied to diagnose rare diseases in various cohorts. The facial features are captured at a granular level in utmost finer detail. A validated and proven algorithm-powered software provides recommendations in real-time. Thus, paving the way for quick and early diagnosis to well-trained or less trained clinicians in different settings around the globe. The generated evidence indicates the strong applicability of 3 D photogrammetry in association with proprietary Cliniface software to Hereditary Angioedema for aiding in the diagnostic process. The approach, mechanism, and beneficial impact have been sketched out appropriately herein. This blueprint for hereditary angioedema may have far-reaching consequences beyond disease diagnosis to benefit all the stakeholders in the healthcare arena including research and new drug development.
    Language English
    Publishing date 2023-03-22
    Publishing country United States
    Document type Journal Article
    ISSN 2767-3170
    ISSN (online) 2767-3170
    DOI 10.1371/journal.pdig.0000090
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: Trends in prenatal diagnosis of congenital anomalies in Western Australia between 1980 and 2020: A population-based study.

    MacArthur, Cassandra / Hansen, Michele / Baynam, Gareth / Bower, Carol / Kelty, Erin

    Paediatric and perinatal epidemiology

    2023  Volume 37, Issue 7, Page(s) 596–606

    Abstract: Background: Advances in screening and diagnostics have changed the way in which we identify and diagnose congenital anomalies.: Objective: To examine changes in rates of prenatal diagnosis of congenital anomalies over time and by demographic ... ...

    Abstract Background: Advances in screening and diagnostics have changed the way in which we identify and diagnose congenital anomalies.
    Objective: To examine changes in rates of prenatal diagnosis of congenital anomalies over time and by demographic characteristics.
    Methods: We undertook a population-based retrospective cohort study of all children born in Western Australia between 1980 and 2020 and diagnosed with a congenital anomaly. Age at diagnosis (prenatal, neonatal, infancy, early childhood or childhood) prevalence (all-type and type-specific), and prevalence ratios (PR) were calculated. We fit joinpoint regression models to describe the average annual percentage change (APC) in prenatal diagnosis over time, and log-binomial regression models to estimate the association between prenatal diagnosis and demographic characteristics.
    Results: Prenatal diagnosis prevalence between the first (1980-1989: 28.3 per 10,000 births) and last (2005-2014: 156.1 per 10,000 births) decades of the study increased 5.5-fold (95% confidence interval [CI] 5.0, 5.9). Substantial increases were observed for cardiovascular (PR 10.7, 95% CI 8.0, 14.6), urogenital (PR 10.5, 95% CI: 8.7, 12.6) and chromosomal anomalies (PR 7.0, 95% CI 5.9, 8.3). Prenatal diagnosis was positively associated with the birth year (adjusted risk ratio [RR] 1.04, 95% CI 1.03, 1.04), advanced maternal age (RR 1.14, 95% CI 1.11, 1.18), multiple anomalies (RR 2.86, 95% CI 2.77, 2.96) and major anomalies (RR 3.75, 95% CI 3.36, 4.19), and inversely associated with remoteness (RR 0.89, 95% CI: 0.83, 0.95) and Aboriginality (RR 0.90, 95% CI 0.83, 0.97).
    Conclusions: Increases in prenatal diagnosis of congenital anomalies were observed in Western Australia from 1980 to 2020, reflecting advances in screening. Prenatal diagnosis was less common in remote regions and in Aboriginal children, strengthening calls for increased provision of antenatal care services for these populations.
    MeSH term(s) Child ; Child, Preschool ; Female ; Humans ; Infant, Newborn ; Pregnancy ; Abnormalities, Multiple ; Congenital Abnormalities/diagnosis ; Congenital Abnormalities/epidemiology ; Prenatal Care ; Prenatal Diagnosis ; Prevalence ; Retrospective Studies ; Western Australia/epidemiology
    Language English
    Publishing date 2023-05-04
    Publishing country England
    Document type Journal Article
    ZDB-ID 639089-4
    ISSN 1365-3016 ; 0269-5022 ; 1353-663X
    ISSN (online) 1365-3016
    ISSN 0269-5022 ; 1353-663X
    DOI 10.1111/ppe.12983
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top