Results 141 to 150 of about 124,779 (298)

T‐Cell Exhaustion in the Tumor Microenvironment: Subcellular Dysfunction, Pan‐Cancer Characteristics, and Therapeutic Interventions

Advanced Science, EarlyView.
This study elucidates the mechanisms of subcellular multidimensional collapse in exhausted T cells. By specifically targeting the nucleus, mitochondria, and endoplasmic reticulum, strategic interventions can effectively remodel the compromised organelle network. This integrated approach drives comprehensive T cell resuscitation, ultimately establishing
Mingxing Wang, Wanhui Dong, Jian Chen, Zhangjie Zhou, Shujuan Fu, Tingting Wu, Haiyan Jiang, Zhiying Wang, Zhixian Zhong, Yi Zhong   +9 more
wiley   +1 more source

Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy

Advanced Science, EarlyView.
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang, Shengxin Lu, Guangyong Zheng, Shensuo Li, Hongyu Chen, Mei Hong, Xiangru Zhou, Ruotian Tang, Ye Wu, Weidong Zhang, Dong Lu, Xin Luan   +11 more
wiley   +1 more source

Strategic evaluations and techno-economic networks. Vaccine innovation in the Cuban biotech sector: for public health – or for profits? [PDF]

In this paper the Cuban biotech sector with its highly integrated vaccine industry is analyzed in the perspective of the techno-economic network model of Michel Callon. The paper discusses the strategic evaluations that have been performed in the sector.
Jens Plahte
core  

A Plug‐and‐Play Platform for Customizing Multivalent Degraders and Degrader‐Drug Conjugates

Advanced Science, EarlyView.
Membrane proteins remain challenging targets for conventional TPD approaches. Here, the authors develop UPTAB, a modular platform leveraging ultrahigh‐affinity orthogonal Im/CL protein pairs for lysosomal degradation of membrane proteins. Mono‐targeted (Type‐I), dual‐targeted (Type‐II), and tri‐targeted (Type‐III) UPTABs enable simultaneous degradation
Mengqing Zhao, Yan Deng, Jianjian Han, Yong Xie, Kai Bao, Lixin Ma, Lilong Liu, Wuxiang Mao   +7 more
wiley   +1 more source

Synthetic vaccines.

Journal of Synthetic Organic Chemistry, Japan, 1987
Shinichi OHASHI, Keishiro TSUDA
openaire   +2 more sources

BCMA‐Engineered Dendritic Cell‐Derived Exosomes as Bi‐Functional Therapeutics Orchestrating Cytokine Sequestration and Immune Activation for Multiple Myeloma

Advanced Science, EarlyView.
A dual‐function cell‐free therapeutic based on DC2.4 cell‐derived exosomes engineered to display BCMA. (Left) Soluble Ligand Sequestration (Decoy Function): DB Exo act as molecular decoys that predominantly sequester soluble APRIL with partial BAFF attenuation, effectively disrupting the NF‐κB survival signaling axis and suppressing myeloma cell ...
Yuqing Zeng, Chao He, Zhibin He, Hongbo Chen, Fang Cheng, Yongjiang Zheng   +5 more
wiley   +1 more source

Risk Factors for Small‐for‐Size Syndrome Grade B/C After Simultaneous Splenectomy in Adult Living‐Donor Liver Transplantation

Annals of Gastroenterological Surgery, EarlyView.
In a single‐center cohort of 577 adult LDLT recipients who underwent simultaneous splenectomy, clinically significant SFSS grade B/C (ILTS‐iLDLT‐LTSI 2023) occurred in 18.2% and was associated with inferior graft survival. Multivariate analysis identified MELD ≥ 30, NLR ≥ 4.5, and donor age ≥ 50 years as independent risk factors, which risk rising ...
Kyohei Yugawa, Takeo Toshima, Shinji Itoh, Takashi Motomura, Shohei Yoshiya, Norifumi Iseda, Tomoharu Yoshizumi   +6 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

mGem: Progress on the development of conjugate vaccines for <i>Cryptococcus neoformans</i> infections. [PDF]

mBio
Stempinski PR, Rodrigues Dos Santos Junior S, Casadevall A.   +2 more
europepmc   +1 more source