Results 211 to 220 of about 994,040 (390)
This review highlights recent advances in engineering artificial antigen‐presenting cells (aAPCs) as alternatives to dendritic cells for T cell expansion. Key design principles inspired by the immunological synapse are discussed, with emphasis on strategies for polyclonal and antigen‐specific T cell expansion.
Nguyen Thi Nguyen, Yu Seok Youn
wiley +1 more source
The temporary transition of macrophages from a pro‐inflammatory phenotype of macrophages (M1) to an anti‐inflammatory phenotype of macrophages (M2) is crucial for tissue repair and regeneration processes. Bacterial outer membrane vesicles (OMVs) are utilized as a “trojan horse” for specific M1 macrophage‐targeting and anti‐inflammatory drug delivery ...
Donglin Cai+9 more
wiley +1 more source
The presence of Entamœba Histolytica and E. coli cysts in people who have not been out of england [PDF]
Warrington Yorke
openalex +1 more source
Synthetic cells are engineered herein to respond to an external chemical messenger by the activation of intracellular catalysis. The chemical messenger molecules are catalytically generated by an extracellular enzyme or a mineral surface, whereas the intracellular catalysis emerges via direct enzyme activation or via protein refolding.
Dante G. Andersen+5 more
wiley +1 more source
Recurrent GNAS Mutations Define an Unexpected Pathway for Pancreatic Cyst Development
Jian Wu+18 more
semanticscholar +1 more source
Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao+5 more
wiley +1 more source
Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung+8 more
wiley +1 more source