Results 241 to 250 of about 881,717 (298)

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Natural Language Processing-Based Triage of Superficial Soft Tissue Ultrasound Reports in Orthopedic Practice. [PDF]

Diagnostics (Basel)
Ülgen NK, Demir MA, Nazlıgül AS, Yiğit N, Erginoğlu SE, Demir Ü, Akkurt MO.   +6 more
europepmc   +1 more source

Tumor‐Derived Exosomes Deliver Membrane‐Bound Fgl2 to Activate FcγRIIB‐Mediated Immunosuppression in Myeloid‐Derived Suppressor Cells

Advanced Science, EarlyView.
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin, Dingqin Cai, Chunli Jian, Yaxian Qi, Linpeng Zheng, Qiao Yang, Longyao Zhang, Diangang Chen, Lingchen Li, Ping Cai, Lingyou Sun, Luping Zhang, Jianguo Sun   +12 more
wiley   +1 more source

Marketing-AutoM3L: domain-aware automated machine learning for financial customer analytics. [PDF]

Front Artif Intell
Tian Y, Shao W, Deng Z.
europepmc   +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

Harnessing big data and artificial intelligence in transfusion medicine: Opportunities for precision, safety and efficiency. [PDF]

Vox Sang
Raza S, Goel R, Erikstrup C, D'Alessandro A, Custer B, Li N, ISBT BIG DATA Working Party.   +6 more
europepmc   +1 more source

CTBPro: A Next‐Generation Cholera Toxin Subunit B‐Based Neuroanatomical Tracer With Superior Brightness, Stability, and Sensitivity for Enhanced Neural Circuit Mapping

Advanced Science, EarlyView.
CTBPro is a next‐generation cholera toxin B–based tracer engineered by fusing CTB to the ultra‐stable fluorescent protein mBaojin. Exhibiting markedly enhanced molar brightness, CTBPro enables high‐fidelity neuronal labeling across multiple administration routes.
Xinghua Quan, Yude Lou, Huiqi Xie, Yifei Wang, Yanzhe Zhang, Yiran Ge, Linhe Yang, Xiaoxuan Zhang, Qingmiao Zhou, Huaizong Shen, Longxing Cao, Xin Jin, Jie‐Min Jia   +12 more
wiley   +1 more source

A 3D Camera-Based Approach for Real-Time Hand Configuration Recognition in Italian Sign Language. [PDF]

Sensors (Basel)
Ulrich L, De Luca A, Miraglia R, Mulassano E, Quattrocchio S, Marullo G, Innocente C, Salerno F, Vezzetti E.   +8 more
europepmc   +1 more source

Depression detection through dual-stream modeling with large language models: a fusion-based transfer learning framework integrating BERT and T5 representations. [PDF]

Front Big Data
Wang N, Zhang W, Kamil R, Renner I, Abdul Rahman Al-Haddad S, Ibrahim N, Zhao Z.   +6 more
europepmc   +1 more source