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Artificial Intelligence
Pediatric devices and IVDs are to be a priority. And the European Health Data Space regulation is seen as critical in supporting digital technologies and AI in transforming care.
Heads of Novartis Biomedical, World Economic Forum and Indian majors like Sun Pharma’s SPARC, among others, discuss generative AI in drug discovery along with pointers for India to leapfrog the R&D process
As the health care industry undergoes a digital transformation, the integration of AI into Quality and Regulatory Management Systems is proving essential. The challenges for successful AI deployment emphasize the need for robust digital infrastructure, data literacy programs and privacy measures to enhance patient safety and commercial performance.
TechBio stands at a critical inflection point, where computational innovation meets the reality of biopharma. Industry leaders have begun to cut through the hype and identify where sustainable value truly lies in this rapidly evolving landscape.
Amgen’s AI model to predict proteins in the “bright Goldilocks zone of viscosity” with over 80% accuracy minus a wet lab experiment holds immense potential, VP Research Haldar said at an event as he spoke about a “hinge moment” for AI in pharma
In Vivo spoke with Tran Le and Sohit Gatiganti, co-founders of Grove AI and developers of Grace, a voice-based AI agent to streamline clinical trial processes.
The Barcelona Health Hub is a nonprofit that seeks to advance digital health innovation by bringing together start-ups, investors, health care institutions and corporations.
Biotech BPGbio applies causal AI to generate insights from samples from what the CEO says is one of the world's largest biobanks. With several promising late-stage programs, its platform seems to be yielding fruit.
Rentschler Biopharma CEO Benedikt von Braunmühl tells In Vivo about the CDMO's strategic decision to exit the cell and gene therapy manufacturing space.
Medtech Insight sat down with Arcadia's chief strategy officer Aneesh Chopra to discuss interoperability, industry standards and the future of health care data and AI.