Results 221 to 230 of about 359,713 (306)

Comparison Between Upfront Surgery and Preoperative Chemotherapy for CY1P0 Gastric Cancer: A Japanese Sub‐Analysis of CONVO‐GC‐1

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Radical gastrectomy, followed by adjuvant chemotherapy has been a common practice in Japan for peritoneal lavage cytology‐positive (CY1) but peritoneal dissemination‐negative (P0) stage IV gastric cancer. This study aimed to clarify the differences in treatment outcomes between upfront surgery and preoperative chemotherapy, followed
Kenichiro Furukawa, Itaru Yasufuku, Hironori Ishigami, Masahiro Yura, Takanobu Yamada, Shigeaki Baba, Takeshi Kubota, Erina Nagai, Seito Fujibayashi, Mitsumasa Yoshida, Takahiro Kinoshita, Nobuhisa Matsuhashi, Masanori Terashima   +12 more
wiley   +1 more source

Potential Effects of Aspirin on Transcription Factors Related to the Inflammation in Atherosclerosis: A Systematic Review. [PDF]

Health Sci Rep
Aghaei M, Khademi R, Bahreiny SS, Haybar H, Torfi E, Azizidoost S, Saki N.   +6 more
europepmc   +1 more source

MiR‐146a‐5p Suppresses M1 Polarization of Tumor‐Associated Macrophages via IRAK1/NF‐κB Signaling in Colorectal Polyps

Annals of Gastroenterological Surgery, EarlyView.
MiR‐146a‐5p is downregulated in colorectal polyps, leading to IRAK1 upregulation and NF‐κB activation, which promotes M1 macrophage polarization and inflammation. Overexpression of miR‐146a‐5p suppresses IRAK1/NF‐κB signaling, reduces M1 polarization, and alleviates inflammatory responses.
Peng Song, Lianhui Wu, Huabin Qiu, Lei Luo, Jianzhao Qiu, Shuping Xiao, Jincai He   +6 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Dual antiplatelet therapy in acute ischemic stroke: Does diabetes mellitus define a target population? [PDF]

Neurotherapeutics
Nedelcu S.
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Do we need to hold aspirin before vitreoretinal surgery? A systematic review and meta-analysis. [PDF]

Int J Retina Vitreous
Abu Serhan H, Ahmed A, Elsharkawy MM, Alkhateeb A, Al-Nawaflh M, Abu Dawood H, Pai A.   +6 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

A secondary analysis of a prospective cohort study: association between aspirin regime and early- and late-onset preeclampsia. [PDF]

BMC Pregnancy Childbirth
Yanqing Y, Lingling D, Shaowen W.
europepmc   +1 more source