scholarly journals Enhanced childhood diseases treatment using computational models: Systematic review of intelligent experiments heading to precision medicine

2021 ◽  
Vol 115 ◽  
pp. 103687
Author(s):  
Sharareh Rostam Niakan Kalhori ◽  
Mozhgan Tanhapour ◽  
Marsa Gholamzadeh
2017 ◽  
Vol 18 (2) ◽  
Author(s):  
Raffaele Serra ◽  
Nicola Ielapi ◽  
Andrea Barbetta ◽  
Gianluca Buffone ◽  
Egidio Bevacqua ◽  
...  

Author(s):  
Michael Flood ◽  
Vignesh Narasimhan ◽  
Kasmira Wilson ◽  
Wei Mou Lim ◽  
Robert Ramsay ◽  
...  

Author(s):  
Cesare M Scartozzi

Abstract This article draws a comprehensive map of conflict climate change scholarship. It uses visualizations and descriptive statistics to trace the temporal, spatial, and topical evolution of the field of study via a bibliometric analysis of more than six hundred publications. It then proceeds to summarize findings, theoretical explanations, and methodological approaches. Overall, this systematic review shows a remarkable inconsistency of evidence among publications. As a way forward, this article recommends future research to use computational models, informed by a social-ecological perspective, to better explore the link between climate change and conflict. Resumen En este artículo se traza un mapa integral de la erudición conflictiva del cambio climático. Se utilizan visualizaciones y estadísticas descriptivas para rastrear la evolución temporal, espacial y temática del campo de estudio mediante un análisis bibliométrico de más de seiscientas publicaciones. Luego, continúa con un resumen de los hallazgos, las explicaciones teóricas y los enfoques metodológicos. En términos generales, esta revisión sistemática muestra una notable incoherencia de evidencias entre las publicaciones. En este artículo se recomiendan investigaciones a futuro para utilizar los modelos computacionales, informados con una perspectiva socioecológica, a fin de explorar mejor la conexión entre el cambio climático y los conflictos. Extrait Cet article offre une représentation complète des recherches portant sur les conflits liés au changement climatique. Il utilise des visualisations et des statistiques descriptives pour retracer l’évolution temporelle, spatiale et thématique de ce domaine d’étude via une analyse bibliométrique de plus de six cents publications. Il résume ensuite les constatations, explications théoriques et approches méthodologiques. Globalement, cette synthèse systématique montre une incohérence remarquable des preuves entre les publications. Pour aller de l'avant, cet article recommande que les recherches futures passent par des modèles informatiques éclairés par une perspective socio-écologique pour mieux explorer le lien entre le changement climatique et les conflits.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jan-Frederic Lambert ◽  
Katarina Stete ◽  
James Balmford ◽  
Annabelle Bockey ◽  
Winfried Kern ◽  
...  

Abstract Background Respiratory diseases are a major reason for refugees and other immigrants seeking health care in countries of arrival. The burden of respiratory diseases in refugees is exacerbated by sometimes poor living conditions characterised by crowding in mass accommodations and basic living portals. The lack of synthesised evidence and guideline-relevant information to reduce morbidity and mortality from respiratory infections endangers this population. Methods A systematic review of all controlled and observational studies assessing interventions targeting the treatment, diagnosis and management of respiratory infections in refugees and immigrants in OECD, EU, EEA and EU-applicant countries published between 2000 and 2019 in MEDLINE, CINAHL, PSYNDEX and the Web of Science. Results Nine of 5779 identified unique records met our eligibility criteria. Seven studies reported an increase in vaccine coverage from 2 to 52% after educational multilingual interventions for respiratory-related childhood diseases (4 studies) and for influenza (5 studies). There was limited evidence in one study that hand sanitiser reduced rates of upper respiratory infections and when provided together with face masks also the rates of influenza-like-illness in a hard to reach migrant neighbourhood. In outbreak situations of vaccine-preventable diseases, secondary cases and outbreak hazards were reduced by general vaccination strategies early after arrival but not by serological testing after exposure (1 study). We identified evidence gaps regarding interventions assessing housing standards, reducing burden of bacterial pneumonia and implementation of operational standards in refugee care and reception centres. Conclusions Multilingual health literacy interventions should be considered to increase uptake of vaccinations in refugees and immigrants. Immediate vaccinations upon arrival at refugee housings may reduce secondary infections and outbreaks. Well-designed controlled studies on housing and operational standards in refugee and immigrant populations early after arrival as well as adequate ways to gain informed consent for early vaccinations in mass housings is required to inform guidelines.


Oncotarget ◽  
2019 ◽  
Vol 10 (36) ◽  
pp. 3408-3423 ◽  
Author(s):  
Raymond Henderson ◽  
Declan French ◽  
Richard Sullivan ◽  
Tim Maughan ◽  
Mike Clarke ◽  
...  

2020 ◽  
Vol 41 (48) ◽  
pp. 4556-4564 ◽  
Author(s):  
Jorge Corral-Acero ◽  
Francesca Margara ◽  
Maciej Marciniak ◽  
Cristobal Rodero ◽  
Filip Loncaric ◽  
...  

Abstract Providing therapies tailored to each patient is the vision of precision medicine, enabled by the increasing ability to capture extensive data about individual patients. In this position paper, we argue that the second enabling pillar towards this vision is the increasing power of computers and algorithms to learn, reason, and build the ‘digital twin’ of a patient. Computational models are boosting the capacity to draw diagnosis and prognosis, and future treatments will be tailored not only to current health status and data, but also to an accurate projection of the pathways to restore health by model predictions. The early steps of the digital twin in the area of cardiovascular medicine are reviewed in this article, together with a discussion of the challenges and opportunities ahead. We emphasize the synergies between mechanistic and statistical models in accelerating cardiovascular research and enabling the vision of precision medicine.


2020 ◽  
pp. 102738
Author(s):  
Roberto Giacomelli ◽  
Antonella Afeltra ◽  
Elena Bartoloni ◽  
Onorina Berardicurti ◽  
Michele Bombardieri ◽  
...  

2021 ◽  
Vol 118 ◽  
pp. 107928
Author(s):  
Yi Li ◽  
Sai Zhang ◽  
Michael P. Snyder ◽  
Kimford J. Meador

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