AI
“ By applying AI, we can advance the most promising drug candidates into clinical development, with the goal of improving the probability of successfully bringing a drug to market and rapidly getting new treatments to the patients who need them the most.”
capabilities, it helps researchers discover and optimise drug candidates faster.
“ Drug discovery is an extremely challenging process with only a small percentage of lead compounds moving into clinical trials and an even smaller percentage becoming approved medicines,” adds Chris Moy, Scientific Director of Oncology, Data Science & Digital Health and R & D at Johnson & Johnson Innovative Medicine.
Where will NLP take J & J next? Johnson & Johnson aims to further embed NLP and AI into its mission to reimagine medicine discovery and patient care. By continually advancing NLP technologies and data science collaborations, the company seeks to bring transformative treatments to patients faster, optimise healthcare delivery and improve clinical outcomes worldwide.
“ It’ s our responsibility to make sure patients and customers have reliable access to the transformational therapies our company creates,” says Vishal Varma, Director of Supply Chain Digital & Data Science and Operations Research at Johnson & Johnson Services.“ AI is helping us build a stable, efficient and resilient supply chain so we can deliver on that obligation.”
The company’ s investment in and delivery of solutions powered by NLP is central to its strategy to revolutionise medicine and health. By converting vast unstructured data into meaningful insights, accelerating clinical trials and advancing drug discovery through AI, J & J is pioneering a future where data and technology profoundly improve patient lives globally.
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