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Jan. 10, 2025, 8:09 p.m.
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AI Revolutionizes Drug Development in Biopharma Industry

The rise of artificial intelligence is perfectly timed for the biopharmaceutical industry. Worldwide demand for innovative and effective treatments is escalating as major drugmakers encounter increased regulatory, pricing, and political challenges. In this demanding scenario, traditional industry operations need to accelerate. Fortunately, AI is beginning to facilitate the progress the industry requires. Companies like BMS and others are currently employing AI to transform pharma, enabling patients globally to overcome diseases.

Across the industry, AI tools are cutting drug development time by up to a factor of ten and significantly enhancing the most time-intensive pharma stage: clinical trials. STAT+ Exclusive Story Logged-in already?Access your account This content is exclusive to STAT+ subscribers. Access this article—and enjoy detailed analysis, newsletters, premium events, and news alerts. Logged-in already?Sign in Monthly Subscription $39 Annual cost: $468 $39/month Start Now Annual cost: $468 Starter Plan $30 for the first 3 months, followed by $399 annually $30 for 3 months Start Now Then $399/year Annual Subscription $399 Save 15% $399/year Start Now 15% savings 11+ Users Custom pricing Save at least 25%! Request A Quote Request A Quote 25% savings at minimum! 2-10 Users $300 per user, annually $300/year Start Now $300 annually per user View All Subscription Plans To continue reading, subscribe to STAT+. Subscribe Now



The biopharmaceutical industry is poised to benefit greatly from advancements in artificial intelligence (AI), which is becoming a crucial asset in the face of increasing global demand for innovative treatments. Pharmaceutical companies are pressured by regulators, pricing systems, and political factors to accelerate their processes. AI is revolutionizing the drug development pipeline by streamlining stages and improving efficiency. Companies such as BMS are leveraging AI to enhance their ability to develop treatments for complex diseases. With AI, drug development timelines can be reduced significantly, potentially by tenfold, particularly in clinical trials—the usually most time-consuming stage. This acceleration not only speeds up the process but also results in substantial cost savings. However, comprehensive insights into these advancements can often only be accessed through subscriptions to specialized services, as seen with STAT+'s exclusive content offerings.

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