Results 161 to 170 of about 1,817,680 (346)
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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 +4 more
wiley +1 more source
A Modular and Programmable Cas13d Platform for RNA Single Nucleotide Variant Detection
A scenario‐guided Cas13d platform enables configurable single nucleotide variant ribonucleic acid diagnostics through rule‐based guide design and ribonucleic acid binding domain engineering, supporting amplification‐free ultrasensitive detection and amplification‐coupled robust detection for accurate mutation classification in clinical tumor specimens.
Zeyu Wang +8 more
wiley +1 more source
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 +17 more
wiley +1 more source
It is currently not well understood how cells regulate basic properties, e.g., volume and mechanics within dense multicellular environments like tumors. Here, we show that different cell types of cancer and also normal cells largely decrease their nuclear and cellular volumes in emerging cell clusters and that this is partly driven by cell cycle shifts.
Vaibhav Mahajan +13 more
wiley +1 more source
ABSTRACT Despite the transformative impact of cancer immunotherapies such as immune checkpoint blockade, durable clinical responses remain limited. Increasing evidence indicates that antitumor immunity is governed not only by the tumor microenvironment, but also by systemic immune regulation mediated by peripheral immune organs. Among these, the spleen
Yuehua Liu, Xiaoqian Nie, Xiaofei Gao
wiley +1 more source
CellFreeGMF traces plasma cfRNA to likely originating cell types by integrating single‐cell atlases with graph‐regularized matrix factorization. The method decomposes cfRNA profiles into sample–cell contributions to reconstruct pseudo single‐cell expression.
Wenxiang Zhang +9 more
wiley +1 more source
This study demonstrates significantly reduced Lkb1 expression in CD11c+ cells in chronic pancreatitis (CP) patients and animal models. Lkb1 deletion enhances CD11c+CD206+ macrophage infiltration and reprograms pancreatic stellate cells (PSCs) via OSM signaling.
Wenqing Zhang +10 more
wiley +1 more source
FAK signaling drives chemoresistance and tumor evolution in pancreatic ductal adenocarcinoma. The FAK inhibitor IN10018 restores gemcitabine sensitivity by inducing SLC7A11‐mediated ferroptosis through the PI3K‐Akt pathway and remodeling the tumor microenvironment, reducing mesenchymal components while enhancing CD8+ T‐cell infiltration in preclinical ...
Yingjin Wang +11 more
wiley +1 more source
This study reveals a citrate–ACLY–H3K27ac metabolic–epigenetic axis driving inflammatory gene activation and kidney fibrosis, highlighting ACLY inhibition as a potential therapeutic strategy for chronic kidney disease (CKD). ABSTRACT The mechanisms by which metabolic stress drives epigenetic dysregulation and fibrosis in chronic kidney disease (CKD ...
Chunxiu Du +15 more
wiley +1 more source
A rotational energy harvesting device that successfully reconciles high power density with mechanical durability through a hybrid sliding‐and‐bouncing kinematic mechanism is reported. The success reported in our paper includes addressing a dilemma where enhanced electrical output comes at the cost of increased friction and wear, limiting the practical ...
Yihong Lin +12 more
wiley +1 more source

