AI Articles and Analysis about Drug discovery

In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.

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Artificial Intelligence at Gilead Sciences – Two Use Cases

Gilead Sciences, a biopharmaceutical company founded in 1987, has emerged as a leader in the development of innovative therapies for a range of diseases, including HIV, liver diseases, and oncology. With a commitment to advancing the field of medicine, Gilead has increasingly recognized the vital role that AI plays in its operations. Gilead Sciences achieved an annual revenue of approximately $28.3 billion in 2024, driven by its robust portfolio, and employs around 18,000 people globally, reflecting its substantial size and reach within the biotech industry​.

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Artificial Intelligence at Lilly

Lilly and Company is a global pharmaceutical corporation founded in 1876 and headquartered in Indianapolis, Indiana. The company has offices in 18 countries and sells its products in approximately 125 countries worldwide. As of 2024, Lilly employs over 38,000 people globally and has an annual revenue of $34.12 billion. 

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How AI Drives Drug Development Workflows and Value Chains Across Life Sciences Enterprises – with Leaders from Benevolent and Takeda

This article/interview analysis is sponsored by BenevolentAI and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Driving Drug Discovery Efficiencies in Life Sciences with AI-1-min

Driving Drug Discovery Efficiencies in Life Sciences with AI – with Anne Phelan of BenevolentAI

According to research from the American Society for Biochemistry and Molecular Biology, nine out of 10 drugs fail to make it to market in the clinical trials process. Researchers in the cited studies found that 40-50% of these failures are due to a lack of clinical efficacy, meaning that the drug is not able to produce its intended effect in people, and 30% were due to unmanageable toxicity or side effects.

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Overcoming Cultural and Technological Hurdles for AI Integration in Life Sciences – with Daniel Ferrante of Deloitte

Far beyond surface-level 'chatbot' software, and other customer-facing support systems, the same generative AI (GenAI) capabilities having direct impacts across language workflows in front-office tasks in financial and legal services is also having a direct impact on how research teams in the life sciences space are targeting solutions for rare diseases and novel treatments. 

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Artificial Intelligence at Sanofi

Sanofi is a global healthcare and pharmaceutical company. Founded in 1973, it aims to unlock and maximize the potential of critical medicines, vaccines, and self-care solutions for individuals. It accomplishes this across four global business units: Specialty Care, Vaccines, General Medicines, and Consumer Healthcare. 

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AI Opportunities for Life Sciences R&D – with Andrew Bolt of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

final-updated-Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizolli of V7

Approaching Life Sciences and Retail Challenges from a Data Perspective – with Alberto Rizzoli of V7

Problems in different industries can look quite similar when looked at from the perspective of data. Though diverse business problems originate from distinct domains and needs, they often share a common thread and solution. 

Drug discovery

In the fields of medicine, biotechnology and pharmacology, drug discovery is the process by which new candidate medications are discovered.