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InnovationRx: The Pharma M&A Horizon

Jan 10, 2024 - forbes.com
The J.P. Morgan Healthcare conference saw major acquisitions with Merck acquiring Harpoon Therapeutics for $680 million, Johnson & Johnson purchasing Ambrx for $2 billion, and GSK buying Aiolos Bio for a potential total of $1.4 billion. The conference also discussed the potential of artificial intelligence in accelerating drug discovery, with companies like Teva and Microsoft highlighting their use of AI. In other news, a record 20.3 million Americans signed up for Obamacare health insurance plans starting in 2024, but this could be undermined by the millions who have lost Medicaid coverage due to bureaucratic issues.

In other healthcare news, Recursion announced a new generative AI platform to speed up drug discovery. Health AI startup Nabla is moving from OpenAI to open source, and 3T Biosciences entered a second agreement with Boehringer Ingelheim to develop new cancer immunotherapies. Meanwhile, MAPS Public Benefit Corporation, which is developing MDMA-assisted therapy, is rebranding to Lykos Therapeutics and has announced $100 million in total funding.

Key takeaways:

  • The J.P. Morgan Healthcare conference featured major acquisition announcements, including Merck's acquisition of Harpoon Therapeutics for $680 million, Johnson & Johnson's $2 billion acquisition of Ambrx, and GSK's acquisition of Aiolos Bio for a potential total payout of $1.4 billion.
  • There is a growing interest in the use of artificial intelligence in accelerating drug discovery, with companies like Nvidia and Teva leading the way in developing AI tools for healthcare.
  • The highest number of Americans ever signed up for Obamacare health insurance plans starting in 2024, but the program's record could be undermined by the millions of low-income Americans who have lost Medicaid coverage in recent months due to bureaucratic issues.
  • Recursion, a Utah-based pharmaceutical company, has trained a large language model to enable scientists to tap into dozens of machine learning models at once, potentially saving them time during drug development.
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