24/7 BIOPHARMA - issue 1 / October 2024

LOGICA

The author explores how Artificial Intelligence (AI) is revolutionising drug discovery, enhancing efficiency and paving the way for personalised medicine.

In the realm of drug discovery and development, the integration of artificial intelligence (AI) is not just a trend; it’s a paradigm shift. Traditional methods, characterised by lengthy timelines, high costs and significant failure rates, have long been a source of frustration and unsuccessful attempts at delivering new drug products to market [1] . However, these challenges are set to change … profoundly. With the introduction of AI, what we are experiencing is more than just a beacon of hope; its skilful integration with existing drug discovery and development methods and human expertise promises more certainty in less time – with lower costs – benefiting sponsors, patients, and all other stakeholders [2] . This article delves into how AI is transforming the drug discovery sector by enhancing predictability and efficiency, emphasising the shift toward a more data-driven and efficient approach that leverages both targeted and untargeted models in drug discovery.

improving it by instilling a level of predictability and efficiency that were previously unattainable using traditional methods. the narrative. By embedding AI into the drug discovery process, we’re witnessing a significant enhancement in every phase of discovery, from target identification to lead optimisation and more. This integration is not merely about accelerating the process, but about At the heart of AI’s success in drug discovery is the quality of the data ingested [ 3] . AI thrives on data – ideally, lots of it – and its integration into the drug discovery process creates a powerful feedback loop. This loop, enriched by deep experimental expertise – again, more is better – not only refines AI models, but also ensures they evolve in tandem with emerging scientific insights, thereby enhancing their predictive accuracy and operational effectiveness. Consequently, this symbiosis between AI and data transcends traditional discovery methods, paving the way for a new era of innovation where breakthroughs are faster and more aligned with human biology. Data: AI’s discovery catalyst

AI’s enhanced role in discovery

The journey of drug discovery has always been fraught with challenges. However, the advent of AI is rewriting

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TWENTYFOURSEVENBIOPHARMA Issue 1 / October 2024