Results 141 to 150 of about 82,231 (299)

Drug repurposing for cancer therapy

Signal Transduction and Targeted Therapy
AbstractCancer, a complex and multifactorial disease, presents a significant challenge to global health. Despite significant advances in surgical, radiotherapeutic and immunological approaches, which have improved cancer treatment outcomes, drug therapy continues to serve as a key therapeutic strategy.
Ying Xia, Ming Sun, Hai Huang, Wei-Lin Jin   +3 more
openaire   +3 more sources

18β‐Glycyrrhetinic Acid and a Nano‐Liposomal Formulation Alleviate Depression‐Like Behaviors via the Microglial mTOR‐Autophagy‐NLRP3 Axis

Advanced Science, EarlyView.
Using a novel zebrafish‐based inflammatory screening strategy, we screened and identified 18β‐glycyrrhetinic acid (18β‐GA) as a promising anti‐inflammatory candidate. We uncover a microglial mTOR–autophagy–NLRP3 axis that constitutes the mechanistic core of 18β‐GA–mediated neuroprotection.
Hua Gan, Haitao Yuan, Wenjun Zhu, Xiaokang Xie, Shen Zhou, Wenzhi Hao, Xiaowei Mo, Lian Yang, Xiaojuan Li, Junshan Liu, Lijuan Deng, Jiaxu Chen   +11 more
wiley   +1 more source

The future of pharmacology and therapeutics of the arachidonic acid cascade in the next decade: Innovative advancements in drug repurposing

Frontiers in Pharmacology
Many drugs can act on multiple targets or disease pathways, regardless of their original purpose. Drug repurposing involves reevaluating existing compounds for new medical uses. This can include repositioning approved drugs, redeveloping unapproved drugs,
Paola Patrignani, Paola Patrignani, Annalisa Contursi, Annalisa Contursi, Stefania Tacconelli, Stefania Tacconelli, Dieter Steinhilber   +6 more
doaj   +1 more source

Scalable Electrochemical Concrete Fabrication and Closed‐Loop Recycling

Advanced Science, EarlyView.
The electrochemical‐driven recycling strategy establishes a reversible concrete material flow by extracting Ca, Si, Al, and Fe from concrete waste and regenerating functional feedstocks. These reversed products are reassembled into new concrete, which re‐enters service and ultimately returns to waste, enabling a closed‐loop, waste‐origin, and low ...
Hanxiong Lyu, Zhenlin Li, Yang Liu, Lu Zhu, Lucen Hao, Mingxin Shi, Shipeng Zhang, Chi Sun Poon   +7 more
wiley   +1 more source

A Conformal Wearable Ultrasound Bioelectronics for Mechanotherapy Reprogramming of Fibroblast Plasticity via Wnt‐FGF10 Axis to Overcome Fibrotic Healing in Urethral Regeneration

Advanced Science, EarlyView.
Fibrotic scarring persistently challenges urethral reconstruction. This study introduces a conformal, wearable ultrasound bioelectronic system that overcomes this by reprogramming fibroblast fate. The device activates a developmental Wnt–FGF10 axis, driving fibroblasts toward a regenerative FGF10+ phenotype that promotes angiogenesis and matrix ...
Mingming Yu, Xingxuan Zhang, Huan Zhang, Jun Wang, Fang Chen, Xiaojun Cai, Yichen Huang, Yuanyi Zheng   +7 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

DrugReAlign: a multisource prompt framework for drug repurposing based on large language models

BMC Biology
Drug repurposing is a promising approach in the field of drug discovery owing to its efficiency and cost-effectiveness. Most current drug repurposing models rely on specific datasets for training, which limits their predictive accuracy and scope.
Jinhang Wei, Linlin Zhuo, Xiangzheng Fu, XiangXiang Zeng, Li Wang, Quan Zou, Dongsheng Cao   +6 more
doaj   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Real‐Time, Label‐Free Classification of Cell Death Pathways via Holotomography‐Based Deep Learning Framework

Advanced Intelligent Systems, EarlyView.
A 3D holotomography system coupled with a deep learning model distinguishes how cells die—apoptosis, necroptosis or necrosis—without any fluorescent labels. Training on refractive index maps of HeLa cells yields 97% accuracy and flags necroptosis hours before chemical dyes.
Minwook Kim, Wei Sun Park, Geon Kim, Sanggeun Oh, Jaephil Do, Juyeon Park, Jihwan Yu, Won Do Heo, YongKeun Park   +8 more
wiley   +1 more source