Results 171 to 180 of about 389,016 (307)

SPIE: An organizational framework to facilitate accessibility in academic statistical consulting centers. [PDF]

J Clin Transl Sci
Huebner M, Wallace M, Stukes F, Manski S, Montez-Rath M.   +4 more
europepmc   +1 more source

Multi‐Scale Mapping of Gene Expression from Whole‐slide Images for Identifying Phenotype‐Associated Subpopulations

Advanced Science, EarlyView.
BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng, Jiajing Xie, Luqi Wang, Hailong Xie, Tong Zhi, Yujia Guo, Bofeng Zhu, Dong Wang, Yu Chen   +8 more
wiley   +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han, Alejandro Grau‐Perales, Rayna M. Harris, Edith Lesburguères, Hsin‐Yi Kao, Asit Pal, Juan Marcos Alarcon, Todd C. Sacktor, Stefano Martiniani, Hans A. Hofmann, André A. Fenton   +10 more
wiley   +1 more source

Brain plasticity underlying acquisition of new organizational skills in children: A Rashomon analysis. [PDF]

Front Neuroimaging
Martinez Agulleiro L, Deng B, Gallagher R, Abikoff HB, Yoncheva Y, Robinson L, Conlon G, Haroon M, Yan CG, Di Martino A, Zhao Y, Castellanos FX.   +11 more
europepmc   +1 more source

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

Dataset on resource allocation and usage for a private cloud. [PDF]

Data Brief
Marques P, Mendes M, Pereira TE, Farias G.   +3 more
europepmc   +1 more source

Biomimetic Cell Membrane‐Coated MOFs System for Targeted Cancer Therapy

Advanced Science, EarlyView.
Biomimetic MOF‐based drug delivery nanoplatforms synthesized using liposomes or cell membranes as camouflage for multiple cancer therapeutics. ABSTRACT The integration of metal‐organic frameworks (MOFs) with cell membrane coatings has emerged as a revolutionary strategy to enhance the therapeutic efficacy of cancer nanomedicine.
Qilu Wu, Jia Song Deon Chon, Yuxiao Feng, Kang Liang, Shiming Li, Can Yang Zhang, Jun Ge   +6 more
wiley   +1 more source

Connectivity and function are coupled across cognitive domains throughout the brain. [PDF]

Netw Neurosci
Hiersche KJ, Saygin ZM, Osher DE.
europepmc   +1 more source

Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics

Advanced Science, EarlyView.
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai, Liuyang Cheng, Ali Albazroun, Qiong Wang, Jeongmin Kim, Arman Tekinalp, Soonwook Kim, Charlie Simcox, Ryne Downing, Vagish Sivaramakrishnan, Grace Carsello, Miles Bimrose, Wonsik Eom, William P. King, Mattia Gazzola, Sameh Tawfick   +15 more
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source