您需要的专家和专业知识。
治疗专业知识并不重要。这是关键任务。因为要找到适合患者的解决方案，您需要知道问题是什么，以及要问什么问题。
“一种适合所有人”从未在医疗保健中应用lol买外围用什么软件
而且永远不会。您如何找到和治疗肿瘤学的患者必须与传染病不同。与阿尔茨海默氏症的治疗相比，了解监管和批准途径是儿科的完全不同的旅程。
We’ve known this, but until today our ability to access, connect and leverage data, technology, and advanced analytics, and apply the critical lens of domain expertise has limited how precise we can be.
探索您致力于的治疗和专业领域的IQVIA深入领域专业知识。
将科学转化为新疗法
Through our Therapeutic Centers of Excellence, IQVIA connects your clinical program with strong scientific and medical expertise, deep therapeutic insights and unrivaled clinical trials experience. To help you find the most direct route from breakthrough science to new therapies for patients.
Ask the right questions
From the earliest planning stages of clinical development through launch and real world assessment, therapeutic expertise is key to ensuring we are asking the right questions.
- 创新在细胞和基因疗法等疗法中的现实影响是什么，患者组有何不同？
- 在全球范围内导航报销要求的正确方法是什么？这些策略如何根据治疗领域进行变化？
- What is the potential for machine learning in finding patients, and how can we ensure the right assumptions and the right context is used to build the best algorithms?
- 在弄清楚什么有效，什么无效，为什么，我们如何才能更加主动，更精确，更具创造力？
Flexible solutions for emerging biopharma companies
无论您在开发旅程的何处，都需要一个知道接下来会发生什么的伴侣。对您的治疗领域的深刻理解意味着知道未来的挑战以及成功所需的挑战。
使人类数据科学lpl哪里可以下外围为您服务
Building a predictive algorithm that can find Alzheimer's patients earlier, before they are even patients, doesn't just take data science. It requires deep domain expertise in the epidemiology, progression and experience of the disease to know what is clinically relevant. It takes unparalleled non-identified data, from a range of sources beyond EMRs. It takes analytics that can create the right composites and a well-taught machine learning system that will only get better. This is more than data science. This is Human Data Science.
As the leader in Human Data Science, IQVIA is at the forefront of integrating human science expertise with advances in analytics and technology to help customers ask better questions, and extract more meaningful insights.
因为要向前发展医疗保健，我们必须lol买外围用什么软件能够回应并反思与疾病本身一样多样化和复杂的挑战，问题和关注。
Assess your protocol against real world evidence using advanced analytics, and reduce the risk of costly amendments.
利用肿瘤学，神经病学，免疫学和其他治疗领域的证据网络，以丰富您的研究。
发现未实现的连接并在整个生命周期中管理您的产品，从研发，合规性到发布和商业化。