Tough, Wide-Temperature-Resistant, and Water-Retentive Conductive Hydrogel for Human Motion Sensing DOI
Yousheng Zhang, Chia‐Hung Lin, Mei‐Yu Yeh

et al.

ACS Applied Polymer Materials, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Language: Английский

Dual cross-linked self-healing hydrogel enhanced by dopamine nanoparticles and raffinose for wound healing DOI
Yudie Wang, Hang Gao, Xin Wang

et al.

International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 271, P. 132615 - 132615

Published: May 23, 2024

Language: Английский

Citations

5
Artificial intelligence for life sciences: A comprehensive guide and future trends DOI

Ming Luo,

Wenyu Yang, Long Bai

et al.

The Innovation Life, Journal Year: 2024, Volume and Issue: unknown, P. 100105 - 100105

Published: Jan. 1, 2024

<p>Artificial intelligence has had a profound impact on life sciences. This review discusses the application, challenges, and future development directions of artificial in various branches sciences, including zoology, plant science, microbiology, biochemistry, molecular biology, cell developmental genetics, neuroscience, psychology, pharmacology, clinical medicine, biomaterials, ecology, environmental science. It elaborates important roles aspects such as behavior monitoring, population dynamic prediction, microorganism identification, disease detection. At same time, it points out challenges faced by application data quality, black-box problems, ethical concerns. The are prospected from technological innovation interdisciplinary cooperation. integration Bio-Technologies (BT) Information-Technologies (IT) will transform biomedical research into AI for Science paradigm.</p>

Language: Английский

Citations

5
Artificial Intelligence Enabled Biomineralization for Eco‐Friendly Nanomaterial Synthesis: Charting Future Trends DOI Creative Commons

Vaisali Chandrasekar,

Anu Jayanthi Panicker,

Ajay Vikram Singh

et al.

Nano Select, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 30, 2025

ABSTRACT The applications of nanoparticles (NPs) have shown tremendous growth during the last decade in field biomedicine. Although chemical and physical methods dominate large‐scale NP synthesis, such are also known for their adverse impact on environment health. In contrast, use biological systems provides a sustainable alternative producing functional NPs by biomineralization process. transformative power artificial intelligence (AI) has been proven prudent diagnosis, drug development, therapy, clinical decision‐making. AI can be utilized tailored design, scale‐up biomedical applications. present review an overview process its advantages over other eco‐friendly synthesis opportunities. Specific emphasis is provided application cancer therapy how biologically compatible improve management. Finally, to best our knowledge, potential integrating comprehensively analyzed first time. Additionally, help surpass conventionally synthesized toxicity toxicology material science provided.

Language: Английский

Citations

0
Engineered hydrogel platform for diabetic wound healing DOI
Jie Cui, Jianbin Shi, Yanjun Liu

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160379 - 160379

Published: Feb. 1, 2025

Language: Английский

Citations

0
Advances in Starch-Based Nanocomposites for Functional Food Systems: Harnessing AI and Nuclear Magnetic Resonance Technologies for Tailored Stability and Bioactivity DOI Creative Commons
Yue Sun, Ziyu Wang,

Jian Ye

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(5), P. 773 - 773

Published: Feb. 24, 2025

Starch-based nanocomposites (SNCs) are at the forefront of innovations in food science, offering unparalleled opportunities for enhancing stability, bioactivity, and overall functionality systems. This review delves into potential SNCs to address contemporary challenges formulation, focusing on synergistic effects their components. By integrating cutting-edge technologies, such as artificial intelligence (AI) nuclear magnetic resonance (NMR), we explore new avenues precision, predictability, SNCs. AI is applied optimize design SNCs, leveraging predictive modeling fine-tune material properties streamline production processes. The role NMR also critically examined, with particular emphasis its capacity provide high-resolution structural insights, monitor stability over time, elucidate molecular interactions within matrices. Through detailed examples, highlights impact unraveling complex behaviors bioactive compounds encapsulated Additionally, discuss integration functional assays AI-driven analytics assessing bioactivity sensory these systems, providing a robust framework rational advanced products. synergy between AI, NMR, opens pathways developing tailored, high-performance formulations that both health consumer preferences.

Language: Английский

Citations

0
Deep learning for predicting synergistic drug combinations: State‐of‐the‐arts and future directions DOI Creative Commons
Yu Wang, Junjie Wang, Yun Liu

et al.

Clinical and Translational Discovery, Journal Year: 2024, Volume and Issue: 4(3)

Published: June 1, 2024

Abstract Combination therapy has emerged as an efficacy strategy for treating complex diseases. Its potential to overcome drug resistance and minimize toxicity makes it highly desirable. However, the vast number of pairs presents a significant challenge, rendering exhaustive clinical testing impractical. In recent years, deep learning‐based methods have promising tools predicting synergistic combinations. This review aims provide comprehensive overview applying diverse deep‐learning architectures combination prediction. commences by elucidating quantitative measures employed assess synergy. Subsequently, we delve into various currently Finally, concludes outlining key challenges facing learning approaches proposes future research.

Language: Английский

Citations

4
Development and Application of Geothermally Derived Silica Grout for Carbon-Neutral Soil Stabilization DOI Creative Commons

Taichi Terui,

Toshiyuki Motohashi,

Shigeo Sasahara

et al.

Case Studies in Construction Materials, Journal Year: 2025, Volume and Issue: unknown, P. e04297 - e04297

Published: Jan. 1, 2025

Language: Английский

Citations

0
Environmental stimuli‐responsive hydrogels in endodontics: Advances and perspectives DOI Creative Commons
He Liu, Ya Shen

International Endodontic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

Abstract Stimuli‐responsive hydrogels are smart and functional materials that respond to various environmental stimuli, including temperature, light, magnetic field, pH, redox, enzymes glucose. This responsiveness allows for the controlled release of therapeutic agents encapsulated within hydrogels, enhancing treatment precision, improving outcomes minimizing side effects. Such show great potential in root canal disinfection, management dental pulp inflammation regeneration, making them promising candidates more personalized effective endodontic treatments. article provides an overview latest advancements design application stimuli‐responsive endodontics, emphasizing their revolutionize It also addresses current challenges explores future directions aiming inspire motivate researchers further engage or intensify efforts this area research.

Language: Английский

Citations

0
Evolving Biomaterials Design from Trial and Error to Intelligent Innovation DOI

Ruiyue Hang,

Xiaohong Yao,

Long Bai

et al.

Acta Biomaterialia, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0
Innovative approaches in bioadhesive design: A comprehensive review of crosslinking methods and mechanical performance DOI

Aftab Yusuf Raj,

Sabrina Sharmin,

Safrin Jannat

et al.

Biomaterials Advances, Journal Year: 2025, Volume and Issue: 173, P. 214287 - 214287

Published: March 15, 2025

Language: Английский

Citations

0