Showing 321 - 340 results of 574 for search '"personalised medicine"', query time: 0.16s Refine Results
  1. 321

    The compatibility of reductionistic and complexity approaches in a sociomedical innovation perspective by Jenneken Naaldenberg, Noelle Aarts

    Published 2020-12-01
    “…Medical technologies, e-health and personalised medicine are rapidly changing the healthcare landscape. …”
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    Article
  2. 322

    Ivacaftor: A Novel Mutation Modulating Drug by Harit Kapoor, Astha Koolwal, Ankur Singh

    Published 2014-11-01
    “…This is excellent example of promise of personalised medicine – targeted drug that treat patients with specific genetic makeup.…”
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    Article
  3. 323

    Which Biologic Therapies to Treat Active Rheumatoid Arthritis and When? by Anna Blundell, Nidhi Sofat

    Published 2021-09-01
    “…Combining predictors to create models of treatment response may be the ultimate key to finding reliable biomarkers with enough predictive power to enable a personalised medicine approach to treating RA in the clinic.…”
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    Article
  4. 324

    Liquid biopsy in tissue-born lymphomas by Valeria Spina, Davide Rossi

    Published 2019-01-01
    “… In the era of personalised medicine, genetic information is critical to directing therapeutic options, aiding risk stratification and disease monitoring of lymphomas. …”
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    Article
  5. 325

    4D Printing in Biomedical Engineering: Advancements, Challenges, and Future Directions by Maziar Ramezani, Zaidi Mohd Ripin

    Published 2023-06-01
    “…As we explore the future directions for 4D printing, we emphasise the need for material innovations, fabrication advancements, and emerging applications such as personalised medicine, nanomedicine, and bioelectronic devices. …”
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    Article
  6. 326

    Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging by Reabal Najjar

    Published 2023-08-01
    “…A spotlight is cast on the profound impact of AI on diagnostic processes, personalised medicine, and clinical workflows, with empirical evidence derived from a series of case studies across multiple medical disciplines. …”
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    Article
  7. 327

    Cancer-Associated Membrane Protein as Targeted Therapy for Bladder Cancer by Adlina Roslan, Nurshahira Sulaiman, Khairul Asri Mohd Ghani, Armania Nurdin

    Published 2022-10-01
    “…This review describes studies on membrane proteins as potential biomarkers to facilitate personalised medicine. It aims to introduce and discuss the types and significant functions of membrane proteins as potential biomarkers for future medicine. …”
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    Article
  8. 328

    A Flexible, Microfluidic, Dispensing System for Screening Drug Combinations by Mark Davies, Mannthalah Abubaker, Lorraine Bible

    Published 2020-10-01
    “…With the advent of organoid screens, personalised medicine has become possible for many diseases. …”
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    Article
  9. 329

    Multiplexed Nanobiosensors: Current Trends in Early Diagnostics by Greta Jarockyte, Vitalijus Karabanovas, Ricardas Rotomskis, Ali Mobasheri

    Published 2020-12-01
    “…The ever-growing demand for fast, cheap, and reliable diagnostic tools for personalised medicine is encouraging scientists to improve existing technology platforms and to create new methods for the detection and quantification of biomarkers of clinical significance. …”
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    Article
  10. 330

    Precision Medicine for Gastric Cancer: Current State of Organoid Drug Testing by Tharindie N. Silva, Josephine A. Wright, Daniel L. Worthley, Susan L. Woods

    Published 2024-10-01
    “…Coupled with genomic analysis, organoid culture can be used to guide personalised medicine. The GC organoid field, however, lacks standardised methodologies for assessing organoid drug sensitivities. …”
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    Article
  11. 331

    Thermodynamic framework to assess low abundance DNA mutation detection by hybridization. by Hanny Willems, An Jacobs, Wahyu Wijaya Hadiwikarta, Tom Venken, Dirk Valkenborg, Nadine Van Roy, Jo Vandesompele, Jef Hooyberghs

    Published 2017-01-01
    “…This enzyme-free detection framework contains the accuracy and efficiency to screen for hundreds of mutations in a single run with many potential applications in molecular diagnostics and the field of personalised medicine.…”
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    Article
  12. 332

    Treatable traits: a new paradigm for 21st century management of chronic airway diseases: Treatable Traits Down Under International Workshop report by McDonald, VM, Fingleton, J, Agusti, A, Hiles, SA, Clark, VL, Holland, AE, Marks, GB, Bardin, PP, Beasley, R, Pavord, ID, Wark, PAB, Gibson, PG, Treatable Traits Down Under International Workshop

    Published 2019
    “…“Treatable traits” have been proposed as a new paradigm for the management of airway diseases, particularly complex disease, which aims to apply personalised medicine to each individual to improve outcomes. …”
    Journal article
  13. 333

    Type 2 diabetes and obesity: Genomics and the clinic by Travers, M, McCarthy, M

    Published 2011
    “…Given the clinical impact of molecular diagnostics in rarer monogenic forms of these diseases, expectations have been high that genetic discoveries will transform the prospects for risk stratification, development of novel therapeutics and personalised medicine. However, so far, clinical translation has been limited. …”
    Journal article
  14. 334
  15. 335

    Clinical Use of Molecular Biomarkers in Canine and Feline Oncology: Current and Future by Heike Aupperle-Lellbach, Alexandra Kehl, Simone de Brot, Louise van der Weyden

    Published 2024-05-01
    “…Molecular biomarkers are central to personalised medicine for human cancer patients. It is gaining traction as part of standard veterinary clinical practice for dogs and cats with cancer. …”
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    Article
  16. 336

    From Clinical Trial Efficacy to Real-Life Effectiveness: Why Conventional Metrics do not Work by Jean-Pierre Boissel, Frédéric Cogny, Nicholas Marko, François-Henri Boissel

    Published 2019-07-01
    “…There is a growing need for accurate translation, both for public health considerations and for supporting the shift towards personalised medicine. Objective Our objective was to assess the results of translation of efficacy data to population efficacy from two simulated clinical trials for two drugs in three populations, using conventional methods. …”
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    Article
  17. 337

    Epigenetic Drug Interventions in Breast Cancer: A Narrative Review of Current Research and Future Directions by Sarah Bibi Mungly, Evelyn Priya Peter, Ling-Wei Hii, Chun-Wai Mai, Felicia Fei-Lei Chung

    Published 2024-09-01
    “…These challenges have been widely recognised in the field and are of utmost importance for the successful implementation of personalised medicine. While there is strong evidence that epigenetic alterations, consisting of changes in DNA methylation, histone modifications, and non-coding RNAs, play a crucial role in breast cancer initiation and development, additional research is warranted to elucidate the safety profile of long-term interventions involving epigenetic drugs and to validate the role of epigenetic markers in disease diagnosis, prognosis, and personalised treatment. …”
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    Article
  18. 338

    COPD stands for complex obstructive pulmonary disease by Sarah Houben-Wilke, Ingrid M. Augustin, Jan H. Vercoulen, Dirk van Ranst, Eline bij de Vaate, Johan B. Wempe, Martijn A. Spruit, Emiel F.M. Wouters, Frits M.E. Franssen

    Published 2018-06-01
    “…Dynamic, personalised and holistic approaches are needed to tackle this multifaceted disease and to ensure personalised medicine and value-based healthcare.…”
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    Article
  19. 339

    Prediction models for exacerbations in patients with COPD by Beniamino Guerra, Violeta Gaveikaite, Camilla Bianchi, Milo A. Puhan

    Published 2017-01-01
    “…Personalised medicine aims to tailor medical decisions to the individual patient. …”
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    Article
  20. 340

    Classification of non-coding variants with high pathogenic impact. by Lambert Moyon, Camille Berthelot, Alexandra Louis, Nga Thi Thuy Nguyen, Hugues Roest Crollius

    Published 2022-04-01
    “…Depending on the disease, WGS fails to identify a candidate variant in 20-80% of patients, severely limiting the usefulness of sequencing for personalised medicine. Here we present FINSURF, a machine-learning approach to predict the functional impact of non-coding variants in regulatory regions. …”
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    Article