Gios相关文献与解析，生知库 | 链接生命科学的每一步

Genetic exchange shapes ultra-small Patescibacteria metabolic capacities in the terrestrial subsurface

基因交流塑造了陆地地下超小型帕特斯氏菌的代谢能力

期刊:mSystems

影响因子:4.6

doi:10.1128/msystems.00046-25

Gios, Emilie; Mosley, Olivia E; Takeuchi, Nobuto; Handley, Kim M

代谢

发表日期：2025

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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

阿尔茨海默病患者认知轨迹相关的神经心理学和临床变量

期刊:Frontiers in Aging Neuroscience

影响因子:4.5

doi:10.3389/fnagi.2025.1565006

Riello, Marianna; Moroni, Monica; Bovo, Stefano; Ragni, Flavio; Buganza, Manuela; Di Giacopo, Raffaella; Chierici, Marco; Gios, Lorenzo; Pardini, Matteo; Massa, Federico; Dallabona, Monica; Vanzetta, Elisa; Campi, Cristina; Piana, Michele; Garbarino, Sara; Marenco, Manuela; Osmani, Venet; Jurman, Giuseppe; Uccelli, Antonio; Giometto, Bruno

Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study

机器学习预测帕金森病患者跌倒风险的多中心观察性研究

期刊:European Journal of Neurology

影响因子:3.9

doi:10.1111/ene.70118

Malaguti, Maria Chiara; Longo, Chiara; Moroni, Monica; Ragni, Flavio; Bovo, Stefano; Chierici, Marco; Gios, Lorenzo; Avanzino, Laura; Marchese, Roberta; Di Biasio, Francesca; Pardini, Matteo; Cerne, Denise; Mandich, Paola; Marenco, Manuela; Uccelli, Antonio; Giometto, Bruno; Jurman, Giuseppe; Osmani, Venet

Reply to Comments on the Article "Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study"

回复关于文章“机器学习在多中心观察性研究中预测帕金森病患者跌倒风险”的评论

期刊:European Journal of Neurology

影响因子:3.9

doi:10.1111/ene.70281

Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients

机器学习分析在预测多发性硬化症患者早期进展（与复发活动无关）中的应用

期刊:European Journal of Neurology

影响因子:3.9

doi:10.1111/ene.70417

Poretto, Valentina; Endrizzi, Walter; Betti, Matteo; Bovo, Stefano; Bellinvia, Angelo; Ragni, Flavio; Lapucci, Caterina; Moroni, Monica; Marangoni, Sabrina; Portaccio, Emilio; Longo, Chiara; Gios, Lorenzo; Chierici, Marco; Jurman, Giuseppe; Giometto, Bruno; Inglese, Matilde; Osmani, Venet; Marenco, Manuela; Uccelli, Antonio; Amato, Maria Pia

CoFish: co-designing citizen science between fishers and scientists to monitor the phosphorus distribution across two lake Geneva basins

CoFish：渔民和科学家共同设计公民科学项目，以监测日内瓦湖两个流域的磷分布

期刊:BMC Ecology

影响因子:2.6

doi:10.1186/s12862-025-02472-x

Jenkins, Tania; Fayet, Laura; Fayet, Alexandre; Chollet, Daniel; Depraz, Yves; Dumaz, Michaël; Ricci, Neal; Lucchetta, Lydia; Anneville, Orlane; Arpagaus, Philippe; Almada, Maria Luengo; Fillion, Roxane; Gios, Matteo; Moftizadeh, Yasmine; Thomas, Mridul K; Strasser, Bruno J; Radosta, Elisa; Ibelings, Bastiaan W

Fish

发表日期：2025

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Remote Heart Failure Patients Telemonitoring: Results of the TreC Heart Failure Study

远程心力衰竭患者远程监测：TreC 心力衰竭研究的结果

期刊:Journal of Cardiovascular Development and Disease

影响因子:2.3

doi:10.3390/jcdd12050182

Maines, Massimiliano; Benini, Annachiara; Vinci, Annalisa; Manica, Anna; Erbogasto, Elisa; Tomasi, Giancarlo; Poian, Luisa; Martinelli, Luigi; Gios, Lorenzo; Forti, Stefano; Patil, Luigi; Mantovani, William; Del Greco, Maurizio

Exploring customised virtual environments in patients with cognitive decline and responsive behaviours: protocol for a proof-of-concept and feasibility study in a long-term care facility (iEMBRACE)

探索针对认知能力下降和反应性行为患者的定制虚拟环境：长期护理机构概念验证和可行性研究方案 (iEMBRACE)

期刊:BMJ Open

影响因子:2.3

doi:10.1136/bmjopen-2024-098051

Pardini, Susanna; Gios, Lorenzo; Dianti, Marco; Genovese, Anna; Lamon, Michele; Marcon, Jacqueline; Forti, Stefano; Mayora-Ibarra, Oscar

神经科学

发表日期：2025

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Impact of digital health on Type 2 diabetes management: a randomised controlled trial of the 'TreC Diabete' platform (TELEMECHRON Study)

数字健康对 2 型糖尿病管理的影响：一项关于“TreC Diabete”平台的随机对照试验（TELEMECHRON 研究）

期刊:Frontiers in Clinical Diabetes and Healthcare

影响因子:2.2

doi:10.3389/fcdhc.2025.1589548

Giovanazzi, Alexia; Gios, Lorenzo; Gentilini, Maria Adalgisa; Mastellaro, Marina; Bartolotta, Patrizia; Nicolussi Giacomaz, Lucrezia; Eccher, Claudio; Inchiostro, Sandro

Comparing snowball sampling and RDS: A methodology and case study

比较滚雪球抽样和RDS：方法论和案例研究

Genetic exchange shapes ultra-small Patescibacteria metabolic capacities in the terrestrial subsurface

基因交流塑造了陆地地下超小型帕特斯氏菌的代谢能力

Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

阿尔茨海默病患者认知轨迹相关的神经心理学和临床变量

Machine Learning Predicts Risk of Falls in Parkison's Disease Patients in a Multicenter Observational Study

机器学习预测帕金森病患者跌倒风险的多中心观察性研究

Reply to Comments on the Article "Machine Learning Predicts Risk of Falls in Parkinson's Disease Patients in a Multicenter Observational Study"

回复关于文章“机器学习在多中心观察性研究中预测帕金森病患者跌倒风险”的评论

Machine Learning Analysis Applied to Prediction of Early Progression Independent of Relapse Activity in Multiple Sclerosis Patients

机器学习分析在预测多发性硬化症患者早期进展（与复发活动无关）中的应用

CoFish: co-designing citizen science between fishers and scientists to monitor the phosphorus distribution across two lake Geneva basins

CoFish：渔民和科学家共同设计公民科学项目，以监测日内瓦湖两个流域的磷分布

Remote Heart Failure Patients Telemonitoring: Results of the TreC Heart Failure Study

远程心力衰竭患者远程监测：TreC 心力衰竭研究的结果

Exploring customised virtual environments in patients with cognitive decline and responsive behaviours: protocol for a proof-of-concept and feasibility study in a long-term care facility (iEMBRACE)

探索针对认知能力下降和反应性行为患者的定制虚拟环境：长期护理机构概念验证和可行性研究方案 (iEMBRACE)

Impact of digital health on Type 2 diabetes management: a randomised controlled trial of the 'TreC Diabete' platform (TELEMECHRON Study)

数字健康对 2 型糖尿病管理的影响：一项关于“TreC Diabete”平台的随机对照试验（TELEMECHRON 研究）