Results 171 to 180 of about 3,013,569 (257)

Glutaminolysis Blockade‐Empowered Bimodal Nanodepot for Spatially Complementary Sono‐Thermal Ablation via PANoptosis and STING Activation Against Large Tumors

Advanced Science, EarlyView.
An injectable bimodal TCPD nanodepot disrupts glutaminolysis and TCA metabolism, sensitizing large tumors to spatially complementary sono‐thermal ablation for complete treatment coverage. This intervention induces mitochondrial and endoplasmic reticulum dysfunction, genotoxicity, and NAD+ depletion, converging to trigger PANoptosome assembly and ...
Yi‐Ming Liu, Juan Qin, Si‐Yuan Wu, Xue‐Zhen Zhu, Yun‐Fei Cai, Pei‐Yao Sun, Hao Yang, Xing‐Yue Wang, Shu Li, Duo Wang, Hai‐Dong Zhu   +10 more
wiley   +1 more source

Association of Gene Polymorphism at Atrial Fibrillation in the Kazakh Population: Case-Control Study. [PDF]

Genes (Basel)
Taizhanova D, Bazarova N, Kalimbetova A, Bodaubay R, Zholdybayeva E, Abylkanov C.   +5 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Optimization of nursing strategies for semaglutide treatment in overweight type 2 diabetes based on gene polymorphism. [PDF]

Front Clin Diabetes Healthc
Chen X, Zhou M, Guo L, Zhu K.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Influence of FAM13A gene polymorphism and serum matrix metalloproteinases 9 and 12 on the phenotypes of chronic obstructive pulmonary disease. [PDF]

BMC Pulm Med
Zhao D, Zhang J, Zhang J.
europepmc   +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

The erythropoietin gene polymorphism (rs1617640) is associated with retinopathy in type 2 diabetes patients. [PDF]

Acta Diabetol
Szeliga-Krol J, Betlejewska A, Buraczynska M, Zaluska W.   +3 more
europepmc   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

The Effect of Fructose and FTO Gene Polymorphism on the Efficacy of GLP-1 and GIP Combination Therapies: A Narrative Review. [PDF]

Cureus
Larner DS.
europepmc   +1 more source