Results 111 to 120 of about 34,934 (250)

Reprogramming tumor immune microenvironment by ultrasound‐responsive nanoplatforms for enhanced cancer immunotherapy

BMEMat, EarlyView.
Ultrasound‐responsive nanoplatforms reprogram the tumor immune microenvironment by targeting tumor cells, immune cells, and non‐immune stromal cells to enhance the efficacy of cancer immunotherapy. Abstract Cancer immunotherapy represents a significant advancement in cancer treatment by enhancing the specific recognition and elimination of cancer cells.
Shilong Zhao, Rui Qu, Zan Dai, Xiqun Jiang, Xu Zhen   +4 more
wiley   +1 more source

Precision modulation of tumor excitability: Targeting cell phenotypic heterogeneity for next‐generation cancer therapy

BMEMat, EarlyView.
This Perspective introduces tumor electrical excitability as a previously overlooked dimension of cancer biology. It proposes that tumor–neural interactions enable malignant cells to acquire neuron‐like properties and form bidirectional chemical and electrical communications with nerves.
Zonghao Liu, Xingwu Jiang, Gang Liu, Jian Chen, Kun Song, Xu Li, Siew Yee Wong, Ruicheng Shi, Yanyan Liu, Wenbo Bu   +9 more
wiley   +1 more source

Clinical Translation of Bio-Artificial Pancreas Therapies: Ethical, Legal and Psychosocial Interdisciplinary Considerations and Key Recommendations. [PDF]

Transpl Int, 2023
de Jongh D, Thom RL, Cronin AJ, Bunnik EM, Massey EK.   +4 more
europepmc   +1 more source

Artificial Pancreas [PDF]

, 2020
openaire   +1 more source

Targeting neutrophil extracellular traps in metabolic and immune niche: Nanomaterials for diabetes tissue regeneration

BMEMat, EarlyView.
The effects of NETs on regeneration of various diabetic tissues, and strategies targeting NETs for diabetes tissue regeneration. In the diabetic environment, NETs undergo complex metabolic and immune reprogramming, leading to dynamic changes in antibacterial and proinflammatory functions, and affecting regeneration of multiple systemic tissues.
Xinyi Jiang, Muxin Yue, Kai Mao, Boon Chin Heng, Noor Azlin Yahya, Yunsong Liu, Zheng Li   +6 more
wiley   +1 more source

Artificial pancreas: the past and the future. [PDF]

J Artif Organs
Kitagawa H, Munekage M, Seo S, Hanazaki K.   +3 more
europepmc   +1 more source

APSec1.0: Innovative Security Protocol Design with Formal Security Analysis for the Artificial Pancreas System. [PDF]

Sensors (Basel), 2023
Kim J, Oh J, Son D, Kwon H, Astillo PV, You I.   +5 more
europepmc   +1 more source

Lifespan Pancreas Morphology for Control Versus Type 2 Diabetes Using AI on Largescale Clinical Imaging

Clinical Anatomy, EarlyView.
ABSTRACT Understanding how pancreas size and shape change with normal aging is critical for establishing a baseline to detect deviations in type 2 diabetes and other pancreatic disease. We measure pancreas size and shape using morphological measurements from early development through aging (ages 0–90).
Lucas W. Remedios, Chloe Cho, Trent M. Schwartz, Dingjie Su, Gaurav Rudravaram, Chenyu Gao, Aravind R. Krishnan, Adam M. Saunders, Michael E. Kim, Shunxing Bao, Thomas A. Lasko, Alvin C. Powers, Bennett A. Landman, John Virostko   +13 more
wiley   +1 more source

Artificial Pancreas: The First 20 Years. [PDF]

J Diabetes Sci Technol
Doyle FJ, Kovatchev BP.
europepmc   +1 more source

An In Silico Head-to-Head Comparison of the Do-It-Yourself Artificial Pancreas Loop and Bio-Inspired Artificial Pancreas Control Algorithms. [PDF]

J Diabetes Sci Technol, 2022
Armiger R, Reddy M, Oliver NS, Georgiou P, Herrero P.   +4 more
europepmc   +1 more source