Merck and Mayo Clinic Form AI-Driven Drug Discovery Collaboration

Reuters
Yesterday
Merck and Mayo Clinic Form AI-Driven Drug Discovery Collaboration

Merck & Co. Inc. and Mayo Clinic have signed a research and development collaboration to apply AI, advanced analytics and Mayo Clinic’s de-identified multimodal clinical and genomic data to support drug discovery, development and precision medicine. The effort will initially focus on inflammatory bowel disease, atopic dermatitis and multiple sclerosis, leveraging the Mayo Clinic Platform and Merck’s AI/ML capabilities to improve disease understanding, target identification and early development decisions.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Merck & Co. Inc. published the original content used to generate this news brief via Business Wire (Ref. ID: 202602180645BIZWIRE_USPR_____20260218_BW034666) on February 18, 2026, and is solely responsible for the information contained therein.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Most Discussed

  1. 1
     
     
     
     
  2. 2
     
     
     
     
  3. 3
     
     
     
     
  4. 4
     
     
     
     
  5. 5
     
     
     
     
  6. 6
     
     
     
     
  7. 7
     
     
     
     
  8. 8
     
     
     
     
  9. 9
     
     
     
     
  10. 10