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Trading-Off Machine Learning Algorithms towards Data-Driven Administrative-Socio-Economic Population Health Management
Published 2020-12-01“…Thanks to the low inference time and reduced memory usage, the resulting model allows for real-time risk prediction updates whenever new data become available, giving General Practitioners the possibility to early adopt personalised medicine.…”
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eHealth and mHealth in Chronic Diseases—Identification of Barriers, Existing Solutions, and Promoters Based on a Survey of EU Stakeholders Involved in Regions4PerMed (H2020)
Published 2022-03-01“…Methods: This study presents data from the survey “Barriers and facilitators of Personalised Medicine implementation- qualitative study under Regions4PerMed (H2020) project”. …”
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Paediatric Thoracic Imaging in Cystic Fibrosis in the Era of Cystic Fibrosis Transmembrane Conductance Regulator Modulation
Published 2024-02-01“…The continued progress of personalised medicine in the form of CFTR modulators will promote the emergence of personalised radiological diagnostics.…”
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An electrochemical biosensor based on β-cyclodextrin modified electrode to determine Paclitaxel as an important agent in treatment of breast cancer
Published 2024-03-01“…This invention advances the field of personalised medicine and has wider implications for clinical diagnostics and pharmaceutical analysis.…”
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RetroSPECT: Gallium-67 as a Long-Lived Imaging Agent for Theranostics
Published 2021-01-01“…Gallium-67 could play a niche role in the future development of personalised medicine with theranostics.…”
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Pre-approval incentives to promote adoption of personalized medicine: a theoretical approach
Published 2019-10-01“…Abstract Background Currently, personalised medicine is becoming more frequently used and many drug companies are including this strategy to gain market access for very specialized therapies. …”
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Probing molecular interactions with methylene blue derivatized self-assembled monolayers
Published 2015-12-01“…The emergence of stratified and personalised medicine and the associated need for highly multiplexed detection strategies are driving the development of innovative sensor technology. …”
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Immuno-Endocrinology of COVID-19: The Key Role of Sex Hormones
Published 2021-12-01“…A better understanding of the role of sex hormones in COVID-19 may identify targets for therapeutic intervention and allow optimization of treatment outcomes towards gender-based personalised medicine.…”
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Towards FAIR protocols and workflows: the OpenPREDICT use case
Published 2020-09-01Get full text
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An AI Approach to Identifying Novel Therapeutics for Rheumatoid Arthritis
Published 2023-11-01Get full text
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Ubiquitous Computing in Sports and Physical Activity—Recent Trends and Developments
Published 2022-11-01“…Finally, we hypothesise that a continuous merger of measurement, processing and analysis will lead to the development of more reliable models utilising the advantages of open computing and unrestricted data access and allow for the development of personalised-medicine-type approaches to sport training and performance.…”
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Multi-Omic Biomarkers for Patient Stratification in Sjogren’s Syndrome—A Review of the Literature
Published 2022-07-01“…Lastly, we discussed emerging findings derived from different omic technologies which can provide integrated knowledge about SS pathogenesis and facilitate personalised medicine approaches leading to better patient outcomes in the future.…”
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Drug Selection and Posology, Optimal Therapies and Risk/Benefit Assessment in Medicine: The Paradigm of Iron-Chelating Drugs
Published 2023-11-01“…Optimal therapeutic protocols could ideally be designed in all diseases including for millions of patients affected by excess iron deposition (EID) toxicity based on personalised medicine parameters, as well as many variations and limitations. …”
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The clinical effectiveness of using a predictive algorithm to guide antidepressant treatment in primary care (PReDicT): an open-label, randomised controlled trial
Published 2021“…Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine offers a means of reducing this delay; however, the clinical effectiveness of personalised approaches to antidepressant treatment has not previously been tested. …”
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SERIES: eHealth in primary care part 2: Exploring the ethical implications of its application in primary care practice
Published 2019“…<p><strong>Background:</strong><br /> eHealth promises to increase self-management and personalised medicine and improve cost-effectiveness in primary care. …”
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Functional genomics of the sepsis response
Published 2017“…</p> <p>This thesis demonstrates the benefit of an integrative functional genomics approach to explore heterogeneity in sepsis, and highlights opportunities for patient stratification and personalised medicine.</p>…”
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