日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Genotype × Environment Shapes Fig Seed Oil Metabolic Fingerprinting

基因型×环境影响无花果籽油代谢指纹图谱

Kassimi, Charaf Ed-Dine; Hadday, Souhaila; Bouchelta, Souhaila; Irchad, Ahmed; Guirrou, Ibtissame; Houmanat, Karim; Diai, Fedoua; Hajji, Lhoussain; Hssaini, Lahcen

Endoscopic sleeve gastroplasty: Prospective assessment of weight loss and metabolic impact

内镜下袖状胃成形术:对体重减轻和代谢影响的前瞻性评估

Barthet, Marc; Vanbiervliet, Geoffroy; Gonzalez, Jean-Michel; Thobois, Maxime; Poher, Yoann; Blin, Marion; Diai, Shani; Lesavre, Nathalie; Boullu, Sandrine

Fig Seeds as a Novel Oil Source: Investigating Lipochemodiversity Through Fatty Acids Profiling and FTIR Spectral Fingerprints

无花果籽作为一种新型油脂来源:通过脂肪酸谱分析和傅里叶变换红外光谱指纹图谱研究其脂质化学多样性

Kassimi, Charaf Ed-Dine; Houmanat, Karim; Irchad, Ahmed; Aboutayeb, Rachid; Ben Moumen, Abdessamad; Fadlaoui, Aziz; Guirrou, Ibtissame; Diai, Fedoua; Hajji, Lhoussain; Hssaini, Lahcen

Usefulness of monitoring mycophenolic acid exposure in systemic sclerosis-related interstitial lung disease: a retrospective cohort study

监测霉酚酸暴露在系统性硬化症相关间质性肺疾病中的意义:一项回顾性队列研究

Milesi, Jules; Sampol, Emmanuelle; Benyamine, Audrey; Diai, Shani; Coiffard, Benjamin; Nieves, Ana; Granel, Brigitte; Reynaud-Gaubert, Martine; Bermudez, Julien

Machine learning approaches to predict age from accelerometer records of physical activity at biobank scale

利用机器学习方法,基于生物样本库规模的加速度计记录的身体活动数据预测年龄。

Le Goallec, Alan; Collin, Sasha; Jabri, M'Hamed; Diai, Samuel; Vincent, Théo; Patel, Chirag J

Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images

利用深度学习技术,根据肝脏和胰腺磁共振图像预测腹部年龄

Le Goallec, Alan; Diai, Samuel; Collin, Sasha; Prost, Jean-Baptiste; Vincent, Théo; Patel, Chirag J