Results 101 to 110 of about 52,235 (175)

Turning Unpredictable Biomolecule Adsorption to Controlled Corona Formation: Focus on Carbon Nanomaterials

Advanced Materials, EarlyView.
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou, Yalei Hu, Jie Yu, Naoki Komatsu, Yuta Nishina, Alberto Bianco   +5 more
wiley   +1 more source

Preclinical Models of Colorectal Cancer Liver Metastasis: Therapeutic Evaluation and Translational Implications. [PDF]

Oncol Res
Han YR, Lee SB.
europepmc   +1 more source

Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization

Advanced Materials, EarlyView.
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab, Jack F. Murphy, Michael Bartolf‐Kopp, Jenny C‐C Hsin, Alice Chernaik, Frank McCaughan, Yan Yan Shery Huang, Tomasz Jungst, Jürgen Groll   +8 more
wiley   +1 more source

Rapid and Sensitive Detection of Amino Groups in Chitosan Oligomers Using Aqueous Ninhydrin and McIlvaine Buffer. [PDF]

Molecules
Toader OR, Agachi BV, Olariu A, Duda-Seiman C, Menghiu G, Ostafe V.   +5 more
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Early identification of neoadjuvant therapy non-response via multimodal immune-imaging biomarkers in breast cancer. [PDF]

Front Immunol
Zhou X, Huang X, Liu L, Cai X, Li H, Sun Z, Qiu Z, Zhong J, Yu T, Zeng Q.   +9 more
europepmc   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review. [PDF]

Int J Mol Sci
Khan MS, Saeed M, Arham M, Zafar I, Hussian M, Jamal A, Usman M, Bahwerth FS, Yang G, Kang KS.   +9 more
europepmc   +1 more source

Lipid Nanoparticle Co‐Delivery of mRNA and a Small Molecule Drug for Oral Cancer Chemoimmunotherapy

Advanced Materials, EarlyView.
Co‐encapsulation of p53 mRNA and the small molecule ciclopirox within a lipid nanoparticle yields an all‐in‐one chemoimmunotherapy for oral squamous cell carcinoma. The platform engages caspase‐driven apoptosis in cancer cells while repolarizing tumor‐associated macrophages, achieving tumor reduction in both p53‐susceptible and p53‐resistant models and
Marshall S. Padilla, Jacqueline J. Li, Qunzhou Zhang, Korey Patwari, Shihong Shi, Hannah M. Yamagata, Ryann A. Joseph, Briyanna N. Hymms, Sridatta V. Teerdhala, Emily Fitzgerald, Ori Z. Chalom, Kushol Gupta, Mohamad‐Gabriel Alameh, Drew Weissman, Anh D. Le, Michael J. Mitchell   +15 more
wiley   +1 more source

Nested co-expression network analysis identifies compact gene clusters in a black box. [PDF]

Bioinformatics
Dyugay IA, Poslavsky A, Lukyanov DK, Polyakov FM, Nikitin E, Klimuk E, Dakhnovets A, Syrko DS, Kotliar VV, Chudakov DM.   +9 more
europepmc   +1 more source