AIMC Topic: Nanotechnology
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Heterojunction nanofluidic memristors based on peptide chain valves for neuromorphic applications.
Biosensors & bioelectronics
Aug 15, 2025
Memristors exhibit significant potential for neuromorphic computing due to their unique properties. This study introduces a heterojunction nanofluidic memristor (HJNFM) and explores its applications in simulating synapses and constructing neural netw...
Nanotechnology-Enhanced siRNA Delivery: Revolutionizing Cancer Therapy.
ACS applied bio materials
Jun 16, 2025
RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precise gene silencing through small interfering RNA (siRNA). However, the clinical application of siRNA-based treatments faces challenges such as rapid deg...
Using Machine Learning to Fast-Track Peptide Nanomaterial Discovery.
ACS nano
Jun 10, 2025
Peptides can serve as building blocks for supramolecular materials because of their unique ability to self-assemble, offering potential applications in drug delivery, tissue engineering, and nanotechnology. In this review, we describe peptide self-as...
A Generative Artificial Intelligence Copilot for Biomedical Nanoengineering.
ACS nano
May 27, 2025
The recent success of large language models (LLMs) in performing natural language processing tasks has increased interest in applying generative artificial intelligence (AI) to scientific research. However, a common problem of LLMs is their tendency ...
Advancing optical nanosensors with artificial intelligence: A powerful tool to identify disease-specific biomarkers in multi-omics profiling.
Talanta
May 15, 2025
Multi-omics profiling integrates genomic, epigenomic, transcriptomic, and proteomic data, essential for understanding complex health and disease pathways. This review highlights the transformative potential of combining optical nanosensors with artif...
Commentary on: Nanotechnology and Artificial Intelligence: An Emerging Paradigm for Postoperative Patient Care.
Aesthetic surgery journal
Jun 14, 2023
Single-model multi-tasks deep learning network for recognition and quantitation of surface-enhanced Raman spectroscopy.
Optics express
Nov 7, 2022
Surface-enhanced Raman scattering (SERS) spectroscopy analysis has long been the central task of nanoscience and nanotechnology to realize the ultrasensitive recognition/quantitation applications. Recently, the blooming of artificial intelligence alg...
Deep-SMOLM: deep learning resolves the 3D orientations and 2D positions of overlapping single molecules with optimal nanoscale resolution.
Optics express
Sep 26, 2022
Dipole-spread function (DSF) engineering reshapes the images of a microscope to maximize the sensitivity of measuring the 3D orientations of dipole-like emitters. However, severe Poisson shot noise, overlapping images, and simultaneously fitting high...
Enabling autonomous scanning probe microscopy imaging of single molecules with deep learning.
Nanoscale
May 27, 2021
Scanning probe microscopies allow investigating surfaces at the nanoscale, in real space and with unparalleled signal-to-noise ratio. However, these microscopies are not used as much as it would be expected considering their potential. The main limit...
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