With the wrong architecture in place, AI algorithms can nudge biopharmaceutical developers toward unpredicted and misaligned ...
It was the summer of 2007 when Chris Anzalone, Ph.D., got a call from Arrowhead Research Company. At the time, Anzalone was working as CEO of the Bennet Group, a private equity firm in Washington, D.C ...
Recently, there has been heightened focus on dual brand approaches in which the same molecule is approved for multiple indications and packaged, priced, and distributed under different brand names.
Why did John Oyler, an American entrepreneur, decide to build a global biopharmaceutical company with roots in China? Ask the chairman, cofounder, and CEO of BeiGene that question and you’re going to ...
When working groups at AbbVie first began evaluating the use of digital technologies in clinical trials, the discussions were mostly conceptual. Individuals agonized over the right approach, the ...
Conferences and trade shows are great places to learn about your competitive environment, as most companies in the industry usually attend these events; this includes competitors, suppliers, customers ...
The False Claims Act (FCA) and the Anti-Kickback Statute (AKS) are two of the Department of Justice’s (DOJ) primary tools when it comes to fighting fraud. Originally enacted during the Civil War to ...
Implementing AI in drug discovery offers significant potential for reducing operating costs, though the extent varies widely. A Deloitte report suggests AI could cut drug development costs by up to 70 ...
In the rapidly evolving world of life sciences, companies are constantly seeking ways to optimize their business structures to better navigate the complex landscape of drug development and financing.
Smart money will find good ideas, and if you follow the money in biotech these days, that means looking to China. From January to mid-May 2025, Chinese biotechnology companies had announced licensing ...
As the life sciences industry grapples with the demands of AI and the need to integrate real-world evidence into increasingly complex pipelines, the FAIR data principles — Findable, Accessible, ...
Biopharma companies face a long journey with each drug they research, test, and — if all goes right — bring to market. And just as new drug development moves forward in phases, so too should your ...
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