Drug formula optimization system based on artificial intelligence
Through an artificial intelligence-based drug formula optimization system, using deep learning algorithms and simulation tests to automatically process drug formula optimization, the problems of inefficiency and high cost in traditional drug research and development are solved, and the accurate prediction and safety improvement of drug formulas are achieved.
Patent Information
- Application Number
- CN202411732434.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2024-12-27
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
Drug formula optimization in traditional drug research and development relies on a large number of laboratory experiments and clinical trials, which are inefficient and costly, making it difficult to fully consider the interactions and biological effects between drug ingredients, resulting in difficult prediction of side effects and unstable efficacy.
Adopting a drug formula optimization system based on artificial intelligence, extracting drug ingredient information through the data input module, the intelligent analysis module uses deep learning algorithm to identify effective formulas, the formula iterative module is optimized, the simulation test module evaluates biological activity and safety, and the decision optimization module is provided Optimization suggestions to achieve automated processing of drug formulas.
It shortens the drug development cycle, improves formula efficiency, accurately predicts the effect of drugs, reduces the actual number of experiments and costs, and improves the efficacy and safety of drugs.
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Figure CN119207832A_ABST
Abstract
Citation Information
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