A new article explores in detail the disruptive and promising role played by AI in the pharmaceutical industry.
A recent scientific paper published in the Multidisciplinary Digital Publishing Institute explores in detail the disruptive and promising role played by artificial intelligence (AI) in the pharmaceutical industry. AI, backed by advances in machine learning, is fundamentally reshaping practices in drug discovery and development, as well as in the design of drug delivery systems.
The article highlights how AI has emerged as a powerful tool capable of addressing complex challenges by leveraging anthropomorphic knowledge and delivering accelerated solutions. AI technology and machine learning have made remarkable advances that provide transformative opportunities in pharmaceutical dosage formulation, evaluation, and testing. Using AI algorithms that analyze comprehensive biological data, including genomics and proteomics, researchers can identify disease-associated targets and predict their interactions with potential drug candidates. This facilitates a more efficient and targeted approach to drug discovery, thereby increasing the likelihood of successful approvals.
The article highlights the ability of AI to reduce development costs by optimizing research and development processes. Machine learning algorithms aid in experimental design and can predict the pharmacokinetics and toxicity of drug candidates. This capability enables prioritization and optimization of lead compounds, reducing the need for extensive and costly animal testing. In addition, AI facilitates personalized medicine approaches through algorithms that analyze real-world patient data, leading to more effective treatment outcomes and improved patient adherence.
Current trends in AI
The article delves into various applications of AI in drug discovery, dosage form design, process optimization, testing, and pharmacokinetic/pharmacodynamic (PK/PD) studies in the pharmaceutical industry. It also addresses the advantages and disadvantages of these AI-based approaches in pharmaceutical technology.
In addition, current trends that demonstrate the widespread impact of AI in the pharmaceutical industry are highlighted. Notable trends include:
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