This search led to the selection and detailed analysis of 33 key documents, focusing on the use of AI in drug discovery and associated ethical challenges. The extracted insights were synthesized to highlight major trends and discoveries in the field. Results: The review found that...
The use of AI in the pharmaceutical industry is projected to bring in billions of dollars in funding in the near future, underlying the huge potential for growth in this specific sector. AI has thepotential to transform the drug development processmaking it bothmore efficient and more effect...
Fakhouri: The discussion paper was published in May 2023, and it was actually accompanied by another discussion paper that focused on the use of AI in drug manufacturing. For these discussion papers, we wanted to describe the field where AI is used in the development of drug...
the EMA has recently issued, for public consultation, a draft reflection paper concerning the use of AI in the drug life cycle, and firm guidelines are expected to be published in the second half of 2024. With respect to manufacturing, the EMA paper discusses how model ...
way to analyze information relevant to safety, although more research is needed to identify if this optimization has an impact on the quality of safety analyses. It is expected that its use will increase in the near future, particularly with its role in the prediction of side effects and ADRs...
But the use of AI in drug development raises significant ethical and regulatory questions. Challenges include the transparency of AI algorithms, which are often seen as "black boxes," and the need for rigorous validation to ensure the safety and effectiveness of medicines developed with the help ...
However, the use of AI in healthcare also presents some challenges. One of the main challenges is the need for large amounts of high-quality data. AI algorithms require large amounts of data to train and improve their accuracy. Another challenge is the need for regulatory approval. As with...
A. By reducing the cost of drug development. B. By analyzing biological data to identify potential drug candidates. C. By speeding up the clinical trial process. D. By improving the quality of drugs. 相关知识点: 试题来源: 解析 B。解析:文中提到“AI can help researchers identify potential ...
31 However, few studies address the use of AI in drug discovery for hepatology, which could represent a future area of interest. Prediction of response to treatment AI also plays a role in predicting responses to specific treatments, for example, in liver cancer (Fig. 3B). Specifically, the...
We use AI to discover drug targets that drive disease Harness the Power of Artificial Intelligence (AI) in Drug Discovery With BullFrog AI BullFrog AI is a technology-enabled drug discovery company using AI to aid in advancing the next generation of lifesaving medicine. We are at the ...