The new effort combines adaptive platform trial design, AI-enabled site activation, nationwide data infrastructure, and patient data contribution tools to reduce timelines, costs, and patient burden across clinical development.
|Articles|June 11, 2014
Overcoming Clinical Challenges in BRIC Markets - China
Thomson Reuters Cortellis Competitive Intelligence
Advertisement
Read the companion parts of this report on
4E: Late-stage trials are the most prevalent in India, with top therapeutic areas mimicking the global trend: diabetes, pulmonary diseases, and rheumatoid arthritis.
5A: China is the only BRIC country seeing an increase in the amount of clinical trials they are initiating every year. And clearly, large pharma lags behind Chinese-based trial initiations in that country. Recent developments in partnerships include AstraZeneca’s with Beijing’s premier clinical research laboratory, Pharmaron. Extensive networks of on-ground expertise with CROs is growing with entities like Novartis, Quintiles, Parexel, Covance’s central laboratory, and Catalant’s recently opened clinical trial supply facility in shanghai.
5E: Phase I trials must be performed in China with Chinese patients for all new drugs not already registered in another country. Due to the high incidence of local sponsors, however, early-stage trials are relatively elevated compared to other BRIC countries. Phase III trials are being initiated in oncology and pulmonology in numbers close to those of early-stage trials, which focus mainly on oncology.
SOURCE: Thomson Reuters Cortellis Competitive Intelligence
Read the full report
Advertisement
Related to this article
In this video interview, Claire Riches, VP of clinical solutions at Citeline, explains how AI is shifting trial risk management from reactive to proactive—enabling sponsors to pressure-test protocols and anticipate pivots before a single patient is enrolled.
In today's ACT Brief, we examine AI's role as trial design advisor with human leadership, how to govern autonomous agents in regulated operations, and real-world outcomes from switching to oral weight-loss therapy.
AI agents in clinical operations acquire broader autonomous capability through expanded permissions, tools, memory, and delegated authority, requiring governance focused on whether effective capability has shifted outside approved boundaries rather than whether software has changed.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, makes the case for AI as a sophisticated strategic advisor in trial design while arguing that humans must remain in the lead—especially when factors the model can't fully account for are at stake.
In today's ACT Brief, we examine how data drives honest enrollment assumptions, why RWE infrastructure lags ambition, and the disconnect between FDA rulemaking and enforcement on compounded therapies.
RWE is finding a role earlier in drug development than ever before, but the data quality, integration, and organizational alignment required to make it regulatory-grade are still catching up to the ambition.
In this video interview, Claire Riches, VP of clinical solutions at Citeline, explains why combining analog trial performance data with real-world patient data and site-level recruitment history gives sponsors a far more honest picture of whether their enrollment assumptions are actually achievable.
Advertisement
Advertisement
Trending on Applied Clinical Trials Online
1
The Control Plane for Agentic Clinical Operations: Governing Autonomous Digital Actors in Regulated Trials
2
Where AI Leads in Trial Design—and Where Humans Still Need To
3
HHS Launches SURPASS Program and Three Complementary Initiatives to Transform Clinical Trial Design and Infrastructure
4
What an AI-Informed Approach Means for How Sponsors Think About Risk
5