Results 261 to 270 of about 429,897 (354)

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

Symbiotic relationship between <i>Polyporus umbellatus</i> and <i>Armillaria gallica</i> shapes rhizosphere bacterial community structure and promotes fungal growth. [PDF]

Front Microbiol
Zhou L, Liu L, Gao W, Li B, Guo S.
europepmc   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Impact of Silver and Copper Oxide Nanoparticles on Anaerobic Digestion of Sludge and Bacterial Community Structure. [PDF]

Nanomaterials (Basel)
Abdulsada ZK, Kibbee R, Princz J, Örmeci B.   +3 more
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Endophytic Bacterial Community Structure and Function Response of BLB Rice Leaves After Foliar Application of Cu-Ag Nanoparticles. [PDF]

Nanomaterials (Basel)
Ning W, Li M, Jiang L, Yang M, Liu M, Liu Y.   +5 more
europepmc   +1 more source

AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials

Advanced Intelligent Systems, EarlyView.
Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley   +1 more source

Trisoxazole Macrolides Potentiate the Microtubule Assembly and Antimitotic Activities of Taxanes

Angewandte Chemie, EarlyView.
Photoaffinity experiments identified tubulin as a new target of mycalolides. Though weakly cytotoxic, the trisoxazole macrolactone moiety enhanced paclitaxel's microtubule assembly and antimitotic effects. Molecular modeling studies suggested that MyC stabilizes α/β‐tubulin heterodimer interactions.
Shohei Ebihara, Rio Takaiso, Shota Kawaguchi, Atsunori Oshima, Masaki Kita   +4 more
wiley   +2 more sources