Results 231 to 240 of about 422,605 (335)

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

Advanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng, Fuze Cong, Shenbo Zhang, Rui Lv, Wenjia Zhang, Xinyi Ke, Juncheng Wu, Zhonghe Zhao, Kui Zhao, Di Dong, Ruofan Zhang, Zhengyu Jin, Max Seidensticker, Zhiwei Wang, Huanwen Wu, Xianlin Han, Nan Hong, Huadan Xue   +17 more
wiley   +1 more source

Polar microcystins or arginine methyl ester can serve as sensitive reference materials for system suitability tests in untargeted metabolomics using reversed-phase LC-MS: A case study. [PDF]

Metabolomics
Melzer T, Pohnert G, Ueberschaar N.
europepmc   +1 more source

Endometrial Epithelial Lactate Deficiency Drives CD8+ T‐Cells Dysregulation in Unexplained Recurrent Implantation Failure

Advanced Science, EarlyView.
Unexplained recurrent implantation failure (RIF) represents a significant clinical challenge. Our results demonstrate that reduced lactate production in the RIF endometrium impairs the suppression of cytotoxic CD8+ T‑cells, allowing their proliferation and thereby disrupting the local immune balance essential for successful embryo implantation.
Yuanlin He, Kang Ke, Qingxia Meng, Yichun Guan, Jichun Tan, Hong Lv, Boxian Huang, Chan Tian, Qinyan Zou, Mingxing An, Yao Gao, Jingjing Chen, Xiaoyu Wei, Xi Wang, Hongxia Ma, Yuan Lin, Feiyang Diao, Yayun Gu, Zhibin Hu   +18 more
wiley   +1 more source

Overcoming missing data in spatial metabolomics with machine learning imputation to accelerate downstream discovery. [PDF]

iScience
Feng T, Wang Y, Pei S, Wang Q, Li Y, Lv J, Xia T, Chen D, Piao HL.   +8 more
europepmc   +1 more source

Metabolomics [PDF]

, 2020
openaire   +1 more source

A Dynamic 3D Human Liver Sinusoid Model for Mechanistic Interrogation of Fontan‐Associated Liver Disease

Advanced Science, EarlyView.
This study presents a perfusable 3D bioengineered liver sinusoid platform that integrates biofabrication, 3D cell culture, controlled hemodynamics, and multiparametric characterization to model Fontan‐associated liver disease. By decoupling pressure and hypoxia effects, the system reveals early mechanobiological and profibrotic responses under ...
Sarah Rezapourdamanab, Mehdi Salar Amoli, Tanmay Mukherjee, Maryam Bagheri, Boeun Hwang, Linqi Jin, Yamini Singh, Sophia Norton, Ashay Vishwas Bongirwar, Shweta Karnik, Lakshmi Prasad Dasi, Reza Avazmohammadi, Rene Romero, Holly D. Bauser‐Heaton, Vahid Serpooshan   +14 more
wiley   +1 more source

Beyond Feature Selection: Interpretable Machine Learning for Mechanistic Insights in Metabolomics. [PDF]

Biology (Basel)
Bai H, Ren Y, Wang J, Wang Y, Yang Y.
europepmc   +1 more source

Potential Nutraceuticals in Mussel Waste [PDF]

, 2012
Neil, D.M., Thompson, J.
core  

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Correction: Metabolic interactions between bacterial co-isolates from catheter-associated urinary tract infections. [PDF]

Sci Rep
Sokol D, Rzhepishevska O, Marynova I, Monsen T, Antti H, Ramstedt M.   +5 more
europepmc   +1 more source