Work

Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment

Year: 2025

Type: article

Source: ACS Nano

DOI: 10.1021/acsnano.5c05505

Authors: Peiyu Yan, Jing Sun, Yuehua Zhao, Wei Deng, Miaomiao Zhang, Yang Li, Xiangru Chen, Ming Hu, Jilin Tang, Dapeng Wang

Institutions: Jilin University, Chinese Academy of Sciences, Changchun Institute of Applied Chemistry, State Key Laboratory of Polymer Physics and Chemistry, State Key Laboratory of Electroanalytical Chemistry

Language: English

Topic: Advancements in Transdermal Drug Delivery

Subfield: Pharmaceutical Science

Field: Pharmacology, Toxicology and Pharmaceutics

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Department of Science and Technology of Jilin Province, National Key Research and Development Program of China, Key Research Program of Frontier Science, Chinese Academy of Sciences

Awards: G273793940, G3095558523, G5356512339

OpenAlex ID: W4413055082

FWCI: 5.461

Cites: 76

Cited by: 16

Related to: 10