How to choose the AI algorithm for Pharmaceutical dosage form optimisation
There are several AI algorithms that can be used for pharmaceutical dosage form optimization, but some of the commonly used ones include:
- Artificial Neural Networks (ANNs): ANNs can be used to develop models that can predict the properties and performance of different dosage forms. These models can be used to optimize the dosage form’s composition and design.
- Genetic Algorithms (GAs): GAs are optimization algorithms that can be used to optimize the formulation of a dosage form by exploring a large solution space and identifying the best combination of ingredients.
- Support Vector Machines (SVMs): SVMs can be used to develop models that can predict the properties and performance of different dosage forms based on a set of input variables.
- Random Forest (RF): RF can be used to develop models that can predict the properties and performance of different dosage forms based on a set of input variables, and it can handle complex data sets and nonlinear relationships between variables.
The choice of algorithm will depend on the specific problem being solved, the available data, and the expertise of the researcher.