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Optimizing Clinical Trials Using Electronic Measurement and Analysis of Drug Adherence
Drug development has never before been so difficult, time consuming and expensive. Accuracy in clinical trials, therefore, is a priority
Drug development has never before been so difficult, time consuming and expensive. Accuracy in clinical trials, therefore, is a priority. However, suboptimal adherence is prevalent in ambulatory trials, in which outpatients are responsible for taking the drug according to the protocol-specified dosing regimen. Unfortunately, most methods for measuring medication adherence are inaccurate, which can result in costly phase III failures. This whitepaper focuses on a proven exception-automatic adherence measurement through electronic compilation of drug dosing histories. Electronic measurement enables a better understanding of drug safety and efficacy data, improving the likelihood of a successful trial outcome and more informed development decisions, leading to faster speed to commercialization.
Read more on our whitepaper here.
Key Findings of the NIAGARA and HIMALAYA Trials
November 8th 2024In this episode of the Pharmaceutical Executive podcast, Shubh Goel, head of immuno-oncology, gastrointestinal tumors, US oncology business unit, AstraZeneca, discusses the findings of the NIAGARA trial in bladder cancer and the significance of the five-year overall survival data from the HIMALAYA trial, particularly the long-term efficacy of the STRIDE regimen for unresectable liver cancer.
Novel GLP-1 Receptor Agonist Demonstrates Promising Results Treating Patients with Obesity
January 21st 2025Data from a Phase Ia single ascending dose study found that ASC30 demonstrated dose-proportional pharmacokinetics, a half-life of up to 60 hours, and superior pharmacokinetic properties compared to other oral GLP-1 receptor agonists.
Cell and Gene Therapy Check-in 2024
January 18th 2024Fran Gregory, VP of Emerging Therapies, Cardinal Health discusses her career, how both CAR-T therapies and personalization have been gaining momentum and what kind of progress we expect to see from them, some of the biggest hurdles facing their section of the industry, the importance of patient advocacy and so much more.
Artificial Intelligence Makes Possible a Multiomic Approach in Oncology Drug Discovery
January 7th 2025While challenges remain, AI is accelerating the process by enabling researchers to identify and design new drug candidates more quickly and efficiently with applications in target discovery, structure prediction, and drug optimization.
