Results 161 to 170 of about 543,552 (289)

Single‐Cell Dissection of Tumor‐Infiltrating Lymphocytes Reveals Cellular Architecture Predictive of Therapeutic Efficacy in Acral Melanoma

Advanced Science, EarlyView.
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang, Wanyi Xiao, Hongru Shen, Fenge Li, Ting Li, Weihong Zhang, Haotian Liu, Ziwei Gao, Hongyu Wang, Xiubao Ren, Kexin Chen, Xiangchun Li, Jilong Yang   +12 more
wiley   +1 more source

Field Epidemiology Training Programs (FETP) in the Eastern Mediterranean Region and Bangladesh: graduates' skills application, career advancement, and continuing education needs. [PDF]

Front Public Health
Khader Y, Al Nsour M, Abu Khudair S, Al-Waleedi AA, AlHamawi R, Bashier H, Alsouri RK, Khairy A, Bani Mousa A, Al-Maani A, Bin-Ghouth AS.   +10 more
europepmc   +1 more source

A Murine Database of Structural Variants Identifies A Candidate Gene for a Spontaneous Murine Lymphoma Model

Advanced Science, EarlyView.
We analyzed long‐read genomic sequencing data obtained from 40 inbred mouse strains to produce a large database of structural variants. This dataset captures the major types of structural variants, which includes deletions, insertions, duplications, and inversions.
Wenlong Ren, Zhuoqing Fang, Egor Dolzhenko, Christopher T. Saunders, Zhuanfen Cheng, Victoria Popic, Gary Peltz   +6 more
wiley   +1 more source

A Comparative Analysis of Inequality in Health Across Europe [PDF]

The study of inequality in health concerns the relationship between socially structured characteristics and health outcomes. Howewer, health disparities are also linked to purely individual characteristics and contextual ones.
Mara Tognetti Bordogna, Mario Lucchini, Sara Della Bella, Simone Sarti   +3 more
core  

Cholesterol Promotes Lung Adenocarcinoma Brain Metastasis by Stabilizing EGFR Protein to Drive EMT, Metabolic Reprogramming, and Premetastatic Niche Formation

Advanced Science, EarlyView.
Cholesterol is revealed as a multitasking fuel for lung adenocarcinoma brain metastasis: it locks EGFR at the membrane to sustain AKT/NF‐κB–driven glycolysis and EMT, loosens the blood–brain barrier by promoting Claudin‐5 loss, and rewires microglia through IL‐4R lipid‐raft–JAK1/STAT6 signaling.
Ying Chen, Xiaoteng Cui, Xinyi Shi, Xu Yang, Yujing Cao, Haolin LI, Qi Zhan, Qixue Wang, Ang Li, Qihong Cheng, Yunfei Wang, Junhu Zhou, MingJie Wang, Chunsheng Kang, Xiaomin Liu   +14 more
wiley   +1 more source

The Lower-Extremity Functional Test and Lower-Quadrant Injury in NCAA Division III Athletes: A Descriptive and Epidemiologic Report

, 2016
The Lower-Extremity Functional Test (LEFT) has been used to assess readiness to return to sport after a lowerextremity injury. Current recommendations suggest that women should complete the LEFT in 135 s (average; range 120-150 s) and men should complete
Brumitt, Jason
core  

Prognostic Impact of Histologic Subtypes in Mismatch Repair‐Deficient/Microsatellite Instability‐High Colorectal Cancer: A Single‐Center Retrospective Study of 1127 Stage 0–IV Patients

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Deficient mismatch repair/microsatellite instability‐High (dMMR/MSI‐H) colorectal cancer (CRC) generally confers a favorable survival yet is paradoxically enriched for poorly differentiated (Por) histology, which is linked to aggressive behavior.
Tomoyuki Momma, Hirokazu Okayama, Sohei Hayashishita, Hiroya Suzuki, Masanori Katagata, Takuro Matsumoto, Daisuke Ujiie, Shun Chida, Wataru Sakamoto, Koji Kono   +9 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings

Advanced Intelligent Systems, EarlyView.
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet, Sergio Sánchez‐Manso, Arnau Manasanch, Lluc Tresserras, Xinhe Zhang, Yining Hua, Hao Zhao, Melody Torao‐Angosto, Maria V Sanchez‐Vives, Leonardo Dalla Porta   +9 more
wiley   +1 more source