Implementing partial least squares and machine learning regressive models for prediction of drug release in targeted drug delivery application
Abstract A combined methodology was performed based on chemometrics and machine learning regressive models in estimation of polysaccharide-coated colonic drug delivery. The release of medication was measured using Raman spectroscopy and the data was used for estimation of drug delivery using machine...
Saved in:
| Main Authors: | Anupam Yadav, B. Jayaprakash, Laith Hussein Jasim, Mayank Kundlas, Maan Younis Anad, Ankur Srivastava, M. Janaki Ramudu, B. Bharathi, Prabhat Kumar Sahu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06227-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Non-Linear Models for Assessing Soil Moisture Estimation
by: Rui Li, et al.
Published: (2025-04-01) -
Design of a liquid cooled battery thermal management system using neural networks, cheetah optimizer and salp swarm algorithm
by: Anjan Kumar, et al.
Published: (2025-08-01) -
Data Mining of 24-Hour Cumulative Precipitation Data in Iran Using Machine Learning: Multilayer Perceptron Neural Network and Decision Tree
by: mozaffar faraji, et al.
Published: (2025-06-01) -
Selection for high quality pepper seeds by machine vision and classifiers
by: Ke-ling TU, et al.
Published: (2018-09-01) -
A Hybrid Artificial Neural Network and Particle Swarm Optimization algorithm for Detecting COVID-19 Patients
by: Alla Ahmad Hassan, et al.
Published: (2021-12-01)