Be quick or be safe? That’s a dilemma the pharmaceutical industry faces often as it seeks to bring a new drug to any market.
How To Speed Up MLR Reviews: A Master Class By J&J, UCB, ex-Takeda Heads
A panel of experts from J&J, UCB and Takeda deliberated on the use of AI and internal processes to strike the right balance between speed and accuracy in MLR reviews that could protect a company from serious repercussions
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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
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Novartis US president Victor Bultó talked to Scrip about the company’s efforts to reach patients with rare kidney diseases who are candidates for Fabhalta.
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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
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MSD's chief information & digital officer emphasizes the need for pharma to accelerate technology adoption cycles to ensure drugs reach patients faster. The role of a robust digital backbone for seamless data flow, leadership commitment in digital transformation and an upcoming technology center in Hyderabad are other aspects he discussed.
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Merck & Co., which already has an oral PCSK9 inhibitor in Phase III, licensed Hengrui’s Lipoprotein(a)-lowering small molecule HRS-5346 outside of Greater China for $200m up front.
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A decision from the FDA is due by 28 September.
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The promise of innovative therapies seems to have been constrained not by efficacy or safety concerns, but because the high price of treatments is incongruous with the reimbursement of short-course therapies.