Results 211 to 220 of about 1,067,180 (304)

Mechanical Activation of Piezo1 Drives Osteoarthritis Through Kdm5c‐Mediated Epigenetic Silencing

Advanced Science, EarlyView.
Excessive mechanical stress activates Piezo1, triggering Ca2+‐dependent cytoskeletal forces that deform the nucleus and reduce H3K4me3. Kdm5c demethylates H3K4me3 at Col2a1 and Runx3 promoters. Kdm5c knockout rescues degradation. Repurposed telmisartan directly inhibits Kdm5c, blocking this axis and showing disease‐modifying efficacy in mouse OA models
Tianyou Kan, Xuran Li, Han Wang, Lin Sun, Yao Wang, Jiangdong Wu, Junqi Cui, Yiqi Yang, Kai Yuan, Linyang Chu, Liao Wang, Hanjun Li, Mengning Yan, Zhifeng Yu   +13 more
wiley   +1 more source

Surgical Resection for Colorectal Liver Metastasis in Elderly Patients Aged ≥ 80: A Retrospective Nationwide Cohort Survey in Japan With Propensity Score Matching

Annals of Gastroenterological Surgery, EarlyView.
Surgical resection for CRLM seems to be as effective in elderly patients aged ≥ 80 as in nonelderly patients. However, elderly patients aged ≥ 80 had significantly worse cancer‐specific survival (CSS) and overall survival (OS). The significantly worse CSS and OS may have resulted from a lower rate of treatment for recurrence in elderly patients aged ...
Kiichi Sugimoto, Akio Saiura, Shuko Nojiri, Hirotoshi Kobayashi, Goro Honda, Kazushige Kawai, Kiyoshi Hasegawa, Keiichi Takahashi   +7 more
wiley   +1 more source

Optimal Indication of D3 Lymph Node Dissection for Non‐Metastatic Colon Cancers by Tumor Stages: Evaluation of Therapeutic Value Index for Each Lymph Node Station

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aims To explore the therapeutic impact of D3 lymph node dissection for non‐metastatic colon cancers, evaluating the therapeutic value index for each lymph node station according to surgical stages. Methods Consecutive patients with surgical Stage I–III colon and rectosigmoid cancer who underwent curative resection between January 2003 and ...
Akira Ouchi, Kozo Kataoka, Eiji Shinto, Takashi Akiyoshi, Takefumi Yoshida, Yasuyuki Takamizawa, Yukihide Kanemitsu, Hirotoshi Kobayashi, Hideki Ueno, on behalf of the Lymph Nodes Committee of JSCCR   +9 more
wiley   +1 more source

Pylorus‐Preserving Gastrectomy for Gastric Cancer: Current Evidence and Future Directions

Annals of Gastroenterological Surgery, EarlyView.
This review aims to outline the current evidence and future directions of PPG, focusing on the feasibility of extending its application beyond its traditional indications. ABSTRACT Pylorus‐preserving gastrectomy (PPG) is a function‐preserving surgery for clinically T1N0M0 (cT1N0M0) early gastric cancer (EGC) located in the middle third of the stomach ...
Sa‐Hong Kim, Hyuk‐Joon Lee
wiley   +1 more source

Automated generative process synthesis via transformer‐based dual‐loop simulation and optimization

AIChE Journal, EarlyView.
Abstract This study presents a novel framework for automated generative process synthesis, addressing the complexity of simultaneously optimizing discrete topologies and continuous operating variables. To overcome conventional superstructure limitations, we propose a dual‐loop architecture integrating generative transformers with rigorous process ...
Yeong Woo Son, Chan Kim, Ji Hun Pak, Hain Lee, Jong Min Lee   +4 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source