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In drug discovery, companies face a long timeline and steep costs to receive drug approvals. The likelihood of getting to market successfully is less than 10%, according to a 2022 study.“Even small advancements in time-to-lead optimization and improvements in the likelihood of clinical success are important to addressing the thousands of diseases that today have no known treatment or cure,” writes Anthony Costa, NVIDIA director of digital biology, in a HealthTech article.Artificial intelligence helps with process control during drug production and can speed up time to market. Drug discovery and drug manufacturing are both part of pharma AI.“Pharma AI refers to the broad application of AI technologies across the pharmaceutical industry, from drug discovery through manufacturing and commercialization,” explains Dan Sheeran, general manager for healthcare and life sciences at Amazon Web Services.
Using AI, Pfizer is able to detect anomalies and suggest real-time steps for its operators as it aims to boost product yield by 10% and cycle time by 25%, Pfizer Chairman and CEO Albert Bourla said in the company’s 2023 annual review.The pharmaceutical company rolled out its generative AI platform in 2023. “AI-powered manufacturing processes are increasing throughput by 20%, enabling us to deliver more medicines to patients faster,” Bourla said in the report.Working with AWS allowed Pfizer to speed up development and distribution of the COVID-19 vaccine and manufacture the vaccine in 269 days instead of the usual 8-10 years, according to Lidia Fonseca, Pfizer’s chief digital and technology officer.
Continue reading at healthtechmagazine.net
Several federal health officials have withdrawn from the upcoming HIMSS Health Information Conference in Las Vegas due to a pause on external event travel. This includes representatives from key …
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