Artificial intelligence
Tech darling Enveda has raised a total of $845 million in the past six years. The latest funding round is intended to pave the way for an IPO someday.
With more than 25 companies debuting on the public markets, 2026 has recorded the highest number of biotech IPOs since 2021. Now, four companies—including Iambic Therapeutics and ADARx Pharmaceuticals—are looking to grow this total even further.
Envisagenics’ platform makes use of AI to screen and detect cancer-specific RNA alterations, which Boehringer Ingelheim wants to target through various precision treatment modalities, including multi-specific antibodies, antibody-drug conjugates and T cell engagers.
As Big Pharma adds AI technology to bolster drug development, a cadre of new, upstart biotechs are pushing drug discovery to new heights.
As AI becomes more embedded in biotech R&D, companies are competing for professionals who can bridge biology, machine learning, data and engineering. Recruiting expert Darren Nelson explains which capabilities are becoming hardest to find—and why.
With oral cyclic peptides offering small molecule convenience and antibody‑like selectivity, the modality is gaining momentum. But bioavailability below 1%, minimal PK data and fragile synthesis still slow progress. Viva Biotech’s experts outlined how hybrid synthesis, ADME/PK modeling and AI‑guided design are expanding what peptide therapeutics can reach.
Newly solidified in their roles as the heads of CBER and CDER, Karim Mikhail and Michael Davis have been working for months to right the ship that had begun to capsize under former Commissioner Marty Makary. Meanwhile, Jared Seehafer will become the first-ever deputy commissioner focused on artificial intelligence.
Applying artificial intelligence and automation tactics has played a large role in talent strategy conversations in the past few years. While many organizations initially focused on experimenting with tools and driving adoption to create efficiencies, leading employers are now asking deeper questions.
Foundation models will change the way we study the natural, applied and clinical sciences, but only under certain conditions, and not in the way that some AI leaders claim.
With U.S. data science jobs projected to grow 35% over the next decade, a recruiter and talent strategy director discuss the qualifications, technical skills and mindset needed to land these coveted positions.
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