.png){kind=icon}
返回
Designing nanotheranostics with machine learning
.png){kind=icon}
PRE
AI
DOI：10.1038/s41565-024-01753-8.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The inherent limits of traditional diagnoses and therapies have driven the development and application of emerging nanotechnologies for more effective and safer management of diseases, herein referred to as 'nanotheranostics'. Although many important technological successes have been achieved in this field, widespread adoption of nanotheranostics as a new paradigm is hindered by specific obstacles, including time-consuming synthesis of nanoparticles, incomplete understanding of nano-bio interactions, and challenges regarding chemistry, manufacturing and the controls required for clinical translation and commercialization. As a key branch of artificial intelligence, machine learning (ML) provides a set of tools capable of performing time-consuming and result-perception tasks, thus offering unique opportunities for nanotheranostics. This Review summarizes the progress and challenges in this emerging field of ML-aided nanotheranostics, and discusses the opportunities in developing next-generation nanotheranostics with reliable datasets and advanced ML models to offer better clinical benefits to patients. This Review explores how machine learning approaches can drive progress in nanotheranostics.
Keyword:
ARTIFICIAL-INTELLIGENCE
NEURAL-NETWORKS
PROTEIN CORONA
PARTICLE-SIZE
NANOPARTICLES
PREDICTION
NANOMATERIALS
DIAGNOSIS
GOLD
TOOL
期刊
IF:
34.9
论文数:
4.8K
被引数:
8.1W
机构
引用论文
Ischemia and reperfusion injury in renal transplantation: hemodynamic and immunological paradigms
OAAI
OAAI分享收藏Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR-Cas gene editing用于组织特异性mRNA递送和crispr-cas基因编辑的选择性器官靶向 (SORT) 纳米颗粒.png)
NATURE NANOTECHNOLOGYOAAI
NATURE NANOTECHNOLOGYIF34.9
OAAI分享收藏Identification of Conformational Variants for Bradykinin Biomarker Peptides from a Biofluid Using a Nanopore and Machine LearningACS NANO
ACS NANOIF16
PREAI
分享收藏Through-skull fluorescence imaging of the brain in a new near-infrared window在新的近红外窗口中通过颅骨对大脑进行荧光成像NATURE PHOTONICSOAAI
NATURE PHOTONICSIF32.9
OAAI分享收藏Machine Learning Reinforced Genetic Algorithm for Massive Targeted Discovery of Selectively Cytotoxic Inorganic NanoparticlesSMALL
SMALLIF12.1
PREAI
分享收藏
分享收藏
查看更多内容