AIMC Topic: Nanostructures
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Synergizing Nanomaterials and Artificial Intelligence in Advanced Optical Biosensors for Precision Antimicrobial Resistance Diagnosis.
ACS synthetic biology
Jun 6, 2024
Antimicrobial resistance (AMR) poses a critical global One Health concern, ensuing from unintentional and continuous exposure to antibiotics, as well as challenges in accurate contagion diagnostics. Addressing AMR requires a strategic approach that e...
AI-Powered Knowledge Base Enables Transparent Prediction of Nanozyme Multiple Catalytic Activity.
The journal of physical chemistry letters
May 23, 2024
Nanozymes are unique materials with many valuable properties for applications in biomedicine, biosensing, environmental monitoring, and beyond. In this work, we developed a machine learning (ML) approach to search for new nanozymes and deployed a web...
Engineering mannose-functionalized nanostructured lipid carriers by sequential design using hybrid artificial intelligence tools.
Drug delivery and translational research
May 9, 2024
Nanostructured lipid carriers (NLCs) hold significant promise as drug delivery systems (DDS) owing to their small size and efficient drug-loading capabilities. Surface functionalization of NLCs can facilitate interaction with specific cell receptors,...
Machine learning in nanozymes: from design to application.
Biomaterials science
Apr 30, 2024
Nanozymes, a distinctive class of nanomaterials endowed with enzyme-like activity and kinetics akin to enzyme-catalysed reactions, present several advantages over natural enzymes, including cost-effectiveness, heightened stability, and adjustable act...
Persistent Luminescence Lifetime-Based Near-Infrared Nanoplatform via Deep Learning for High-Fidelity Biosensing of Hypochlorite.
Analytical chemistry
Apr 25, 2024
In light of deep tissue penetration and ultralow background, near-infrared (NIR) persistent luminescence (PersL) bioprobes have become powerful tools for bioapplications. However, the inhomogeneous signal attenuation may significantly limit its appli...
Biomolecular Adsorption on Nanomaterials: Combining Molecular Simulations with Machine Learning.
Journal of chemical information and modeling
Apr 16, 2024
Adsorption free energies of 32 small biomolecules (amino acids side chains, fragments of lipids, and sugar molecules) on 33 different nanomaterials, computed by the molecular dynamics - metadynamics methodology, have been analyzed using statistical m...
Multiplex Detection of Foodborne Pathogens using 3D Nanostructure Swab and Deep Learning-Based Classification of Raman Spectra.
Small (Weinheim an der Bergstrasse, Germany)
Apr 2, 2024
Proactive management of foodborne illness requires routine surveillance of foodborne pathogens, which requires developing simple, rapid, and sensitive detection methods. Here, a strategy is presented that enables the detection of multiple foodborne b...
Responsible Development of Emerging Technologies: Extensions and Lessons From Nanotechnology for Worker Protection.
Journal of occupational and environmental medicine
Mar 27, 2024
OBJECTIVES: This paper identifies approaches to the responsible development of emerging technologies to secure worker safety and health.
An RNA origami robot that traps and releases a fluorescent aptamer.
Science advances
Mar 20, 2024
RNA nanotechnology aims to use RNA as a programmable material to create self-assembling nanodevices for application in medicine and synthetic biology. The main challenge is to develop advanced RNA robotic devices that both sense, compute, and actuate...
Decoding Nanomaterial-Biosystem Interactions through Machine Learning.
Angewandte Chemie (International ed. in English)
Feb 12, 2024
The interactions between biosystems and nanomaterials regulate most of their theranostic and nanomedicine applications. These nanomaterial-biosystem interactions are highly complex and influenced by a number of entangled factors, including but not li...
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