Revolutionizing Anti-Cancer Drug Discovery With Artificial Intelligence: A New Era in Oncology

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This review explores how artificial intelligence enhances drug discovery in oncology, suggesting novel methodologies for efficiency.

AI improves the prediction of molecular properties, leading to more effective anti-cancer therapies and reduced attrition rates.
Integration of AI in drug discovery processes, like target identification and virtual screening, streamlines development timelines.
Attention mechanisms and transformer models enhance interpretability in AI applications, fostering better decision-making in treatment strategies.
Addressing data quality, model interpretability, and ethical concerns is crucial for integrating AI into routine oncology practices.

Akhlaq et al. (2025) studied this question.

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View Full Paper

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This review explores how artificial intelligence enhances drug discovery in oncology, suggesting novel methodologies for efficiency.

AI improves the prediction of molecular properties, leading to more effective anti-cancer therapies and reduced attrition rates.
Integration of AI in drug discovery processes, like target identification and virtual screening, streamlines development timelines.
Attention mechanisms and transformer models enhance interpretability in AI applications, fostering better decision-making in treatment strategies.
Addressing data quality, model interpretability, and ethical concerns is crucial for integrating AI into routine oncology practices.

Akhlaq et al. (2025) studied this question.

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