Results 241 to 250 of about 6,165,042 (395)

Colonic Submucosa Targeted Delivery of Probiotic and Rhein for Ulcerative Colitis Treatment

Advanced Science, EarlyView.
A novel orally drug‐probiotic co‐delivery system designated as Rh‐YBS for UC treatment, which highlights three innovations: (i) YPs involves colonic submucosa delivery via M cells; (ii) Rh (drug) promotes the colonization and growth of BS (probiotic) in the colon.
Lingqiang Li, Linxin Dai, Meisi Lin, Shuang He, Hongye Du, Dasheng Lin, Yanbin Wang, Fenglian Zhang, Sian Tao, Xiaoluo Sun, Xinggui Huang, Haihui Liu, Qian Wang, Lingling He, Kunhe Wu, Jieshu You, Minyue Zhang, Chaomei Fu, He Tu, Naijing Ye, Jibin Liu, Fei Gao   +21 more
wiley   +1 more source

Trends in dietary patterns of Latin American populations [PDF]

, 2003
Odilia I. Bermúdez, Katherine L. Tucker
openalex   +2 more sources

Nutrition and Dietary Patterns: Effects on Brain Function. [PDF]

Nutrients
Granero R, Guillazo-Blanch G.
europepmc   +1 more source

Presbycusis: Pathology, Signal Pathways, and Therapeutic Strategy

Advanced Science, EarlyView.
In ARHL, the stria vascularis, acting as a cochlear battery, gradually loses its ability to maintain the endocochlear potential, leading to impaired hair cell function and progressive hearing loss. Single‐cell sequencing reveals age‐related cellular changes in the cochlea, providing insights into the underlying mechanisms of aging and potential ...
Xiaoxu Zhao, Tian Shen, Shengda Cao, Ziyi Liu, Wendu Pang, Meixuan Li, Jingjing Liu, Wen Li, Yunhao Wu, Chengcheng Liu, Ming Xia, Xiaolong Fu, Cheng Cheng   +12 more
wiley   +1 more source

Dietary Patterns and Their Impact

TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis, 2014
openaire   +3 more sources

Evaluating trends in global dietary patterns [PDF]

The Lancet Global Health, 2015
C. La Vecchia, L. S. Majem
openaire   +5 more sources

Development and Validation of Machine Learning‐Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease

Advanced Science, EarlyView.
This study constructs a stacked multimodal machine learning model for nonalcoholic fattly liver disease (NAFLD) by integrating genetic and clinical features, and synthesize an in‐silico quantitative marker (ISNLD) that enables personalized risk stratification for intrahepatic and extrahepatic outcomes of high‐risk individuals of NAFLD.
Lushan Xiao, Lin Zeng, Jiaren Wang, Chang Hong, Ziyong Zhang, Chengkai Wu, Hao Cui, Yan Li, Ruining Li, Shengxing Liang, Qijie Deng, Wenyuan Li, Xuejing Zou, Pengcheng Ma, Li Liu   +14 more
wiley   +1 more source

Association of dietary patterns with osteoporosis risk: a meta-analysis of observational studies. [PDF]

J Orthop Surg Res
Tan B, Su H, Wei L, Liang M.
europepmc   +1 more source

Dietary Patterns in a High-Risk Population for Glucose Intolerance

, 2000
Mônica Barros Costa, Sandra Roberta G. Ferreira, Laercio J Franca, Suely G.A. Gimeno, Magid Iunes   +4 more
openalex   +2 more sources

Applying Science to Changing Dietary Patterns [PDF]

, 2001
David Heber, Susan Bowerman
openalex   +1 more source