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Publicação
AI in drug discovery
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 2.12 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Drug Discovery (Alexander Christopher Rebl): This part focuses on the role of AI in
revolutionizing drug discovery. It explores how AI aids in various stages of drug discovery,
from target identification to lead optimization, significantly enhancing the efficiency of these
processes. The paper also delves into the technical foundations of AI in this domain, including
data representation and modeling frameworks. Expert interviews are discussed, providing
insights into the opportunities and challenges presented by AI in drug discovery, including
ethical considerations, data quality, and the need for new professional expertise. AI is presented
as a key solution to traditional challenges, offering a path to more efficient and cost-effective
drug discovery.
Descrição
Palavras-chave
Drug discovery Artificial intelligence Healthcare Generative ai Covid-19 Challenges Opportunities Deep neural networks