Results 231 to 240 of about 32,319 (305)

Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS

Advanced Science, EarlyView.
ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi, Di Tang, Johan Malmström, Yasaman Karami, Hamed Khakzad   +4 more
wiley   +1 more source

Civil Service Rules: (Post)Colonial Memoir and the Raj Revival, 1970-1985. [PDF]

Lit Hist
Goodman S.
europepmc   +1 more source

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

Materialities of the In/between: Drugs and Medical Knowledge between Europe and East Asia. [PDF]

Ber Wiss
Merdes D, Wahrig B.
europepmc   +1 more source

Bench‐to‐Bedside Translation of Self‐Healing Colloidal Hydrogels as Next Generation Design of Flowable Hemostatic Matrix: From Preclinical Evaluation to Human Clinical Trials

Advanced Science, EarlyView.
ABSTRACT Self‐healing materials represent a paradigm shift in designing functional biomedical devices for drug delivery, tissue regeneration, and 3D bioprinting. However, their clinical translation remains limited by challenges such as insufficient mechanical strength, potential cytotoxicity from chemical modifications, and complex activation ...
Ganjun Feng, Kaiwen Chen, Qiwei Ying, Shuya Wang, Xin Li, Guanlin Li, Yantao Zhao, Binghua Ma, Huanan Wang, Dawei Li, Lijun Zhang, Jian Zhang, Yu Zhao, Changle Ren, Baodong Chen, Yueming Song   +15 more
wiley   +1 more source

In Vivo CRISPR Screening Identifies the Glutamate Receptor GRIA2 as Promoting Peritoneal Metastasis of Gastric Cancer via Calcium‐Dependent β‐Catenin Activation

Advanced Science, EarlyView.
We identified GRIA2 as a critical driver of gastric cancer peritoneal metastasis through in vivo CRISPR screening. Mechanistically, GRIA2‐mediated calcium influx inhibits GSK3β and activates Wnt/β‐catenin signaling, driven by glutamate from cancer‐associated fibroblasts.
Jie Sun, Xu Yang, Wenchao Jiang, Chengbo Ji, Yingying Wu, Haoyu Sun, Xinyou Liu, Masami Yamamoto, Tetsuya Tsukamoto, Sachiyo Nomura, Junjie Zhao, Yuanyuan Ruan, Haojie Li, Xuefei Wang   +13 more
wiley   +1 more source

Beyond Extracellular Vesicle (EV) Hype: Practical Solutions and Remaining Hurdles in EV Research, Manufacturing, and Clinical Translation

Advanced Science, EarlyView.
ABSTRACT Extracellular vesicles (EVs) are nanoscale mediators of intercellular communication with diverse molecular cargoes that reflect their cell of origin. Advances in isolation, detection, and single‐particle analytics have revealed increasing molecular and functional heterogeneity, while exposing limitations in how EV identity and activity are ...
David J. Lundy, Zoe L. Chau, Sheng‐You Chen, Nanami Fujisawa, John J. Hill, Barnett M. Hsu, Joanne K. Liu, Karol W. Mai, James J. Lai   +8 more
wiley   +1 more source

Cryoablation Activates the cGAS–STING‐CXCL10 Axis in Macrophages to Enhance Anti‐Tumor Immunity in NSCLC

Advanced Science, EarlyView.
Tumor dsDNA released by cryoablation is taken up by macrophages, activating the cGAS‐STING signaling pathway. This leads to an expansion of the CXCL10+ macrophage pool and increased secretion of CXCL10, which in turn recruits CXCR3+ T cells from draining lymph nodes into the tumor microenvironment to exert anti‐tumor effects.
Xinxin Zhi, Zhengcao Xing, Libo Luo, Jiale Wang, Xinyu Liu, Jia Yu, Jizhong Yin, Bin Chen, Yiwei Liu, Hui Sun, Guanghui Gao, Lei Wang, Xiaoxia Chen, Fei Li, Hu Ma, Lin Wang, Shuo Yang, Shengxiang Ren   +17 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