Results 181 to 190 of about 106,971 (289)

Editorial: Perspectives and opinions in health services, volume II. [PDF]

Front Health Serv
Cioffi A, Ślęzak D, Alaeddini F, Cioffi F.   +3 more
europepmc   +1 more source

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

Review on Main Controlling Factors and Key Simulation Techniques of Hydro-Fracturing Potential for Coalbed Methane Reservoirs: Recent Progress, Challenges, and Prospects. [PDF]

ACS Omega
Guo W, Wei Y, Cao D, Wang A, Jin L, Shi H, Lv H, Duan Z.   +7 more
europepmc   +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

Research on Control Strategy of Lower Limb Exoskeleton Robots: A Review. [PDF]

Sensors (Basel)
Xu X, Chen C, Sun Z, Xian W, Ma L, Liu Y.   +5 more
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

Prediction Model for Gas Adsorption with Different Pore Compositions under In Situ Reservoir Conditions in Northeast Chongqing. [PDF]

ACS Omega
Zhang Z, Zhang Y, Wang J, Wang W, Tong X, Yu C, Wang S, Wang Q, Zeng C, Tian X, Chen D.   +10 more
europepmc   +1 more source

Nanomedicine Meets Immunotherapy: Advancing Adoptive Cell Therapy with Nanoparticles in the Treatment of Cancer with Sustainability Perspectives

Advanced Science, EarlyView.
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård, Tatiana Bobrova, Amalie Leinebø, Thibault Leray, Shayamita Ghosh, Lorena García‐Hevia, Chiara Puccinelli, Lorenzo Riccio, Jacopo Sorani, Davide Bonifazi, Julien Caumartin, Emmanuel Donnadieu, Florence Gazeau, Roland Hischier, Else Marit Inderberg, Mónica L. Fanarraga, Maria Loustau, Bernd Nowack, Sébastien Wälchli, Cécilia Ménard‐Moyon   +19 more
wiley   +1 more source

Revision rates following total shoulder arthroplasty in rural and urban hospitals : an Australian Orthopaedic Association National Joint Replacement Registry analysis of high-volume surgeons. [PDF]

Bone Jt Open
Dragan Z, Campbell RJ, Tropman M, Du P, Gill DRJ, Handford C, Cass B, Young A.   +7 more
europepmc   +1 more source

S100A14 in Tumor‐Derived EVs Targets PIAS3 to Reprogram Astrocytes and Induce Immunosuppressive Microenvironment Promoting Brain Metastasis and Germacrone Reversal Effect

Advanced Science, EarlyView.
This study identifies S100A14 in tumor‐derived exosomes as a key driver of brain metastasis. S100A14 targets PIAS3 in astrocytes, activating STAT3 signaling and promoting immunosuppressive MDSCs recruitment via chemokine secretion. Germacrone, a natural compound, binds S100A14 to disrupt this axis, effectively inhibiting brain metastasis with low ...
Qian Feng, Xia Yang, Lin An, Xue‐Yu Wang, Ming‐Rui Wang, Zhuo‐Hong Cai, Cai‐Jun Xie, Li‐Jun Qiao, You‐Bi Shen, Xi‐Min Liang, Rong Zhang, Cai‐Yan Wang, Zhong‐Qiu Liu, Rong‐Rong Zhang   +13 more
wiley   +1 more source