The passing of a decade always brings with it an inevitable glance in the rear-view mirror to see how far we have come. The pharma industry is no different and it would be remiss to ignore the failings of the industry’s collective R&D engine while also celebrating its successes.
According to US industry body PhRMA, the average R&D cost of a bringing an FDA-approved drug to patients is around $2.6bn over the past decade, including the cost of the many medicines that do not make it through to approval.
The composite success rate of clinical development stages from Phase I trials to regulatory submission fell to 11.4% in 2018,...
Against a backdrop of shifting trade policies, the end of multilateral market approaches and renewed focus on supply chain resilience, medtechs are doubling down on innovation in products and processes – using AI – and keeping unmet needs and outcomes in the center of the target.
While biopharma companies experiment with genAI, agentic AI is rapidly shifting the work paradigm towards one of autonomous digital workers that can handle entire process flows.
Biotech companies are pursuing diverse AI strategies beyond expensive custom data generation: foundation model fine-tuning, data-efficient computational methods and targeted proprietary datasets. In Vivo takes a look at some examples.
A look at Novo Nordisk, Eli Lilly and other companies' late-stage clinical studies of GLP-1 drugs in indications ranging from neurodegeneration to oncology, and alcoholic liver disease to autoimmune conditions.
MedTech Forum 2025 was less MDR-focused than in previous years, as macro issues and exogenous threats were forced further into the center of medtech business thinking.
In a conversation with In Vivo, CEO Jon Congleton discusses Mineralys’s data-rich journey toward an NDA filing, the significance of recent trial wins and how its candidate may offer a dual benefit in blood pressure and renal protection.
Qubit Pharmaceuticals and Sorbonne University launched a quantum AI model that could slash drug synthesis requirements and enable exploration of previously undruggable targets.
