In the world of clinical trials, having a well-defined research question is key. And that’s where fit-for-purpose data sets come in. But what are the factors for defining research questions? In this episode of the Real World Talk podcast, we get to hear from Seshamalini Srinivasan, Karla Feghali, Mandy Kelly, and Laura Fernandes. They talk about the criteria for defining research questions, the importance of fit-for-purpose data, and the other factors to consider in real-world data sources.

In the world of clinical trials, having a well-defined research question is key. And that’s where fit-for-purpose data sets come in. But what are the factors for defining research questions? In this episode of the Real World Talk podcast, we get to hear from Seshamalini Srinivasan, Karla Feghali, Mandy Kelly, and Laura Fernandes. They talk about the criteria for defining research questions, the importance of fit-for-purpose data, and the other factors to consider in real-world data sources.

Real-world data holds great potential for clinical trials, and it can support clinical development and regulatory decision-making. But when working with data, we need to be conscious of potential biases. In this episode of the Real World Talk podcast, our host Christie Zettler welcomes Laura Fernandes, Senior Statistical Director at COTA. They talk about the JSM conference, AML response validation work, and how to account for potential biases when dealing with RWD.

Real world data (RWD) is data that’s collected outside of clinical trials, whereas randomized controlled trials (RCTs) are conducted to measure the effectiveness of a specific medication or treatment. But how can these two work together to improve patient outcomes? In this episode of the Real World Talk podcast, our host Mandy Kelly welcomes Seshamalini Srinivasan, Laura Fernandes, and Karla Feghali to talk about the importance of combining RWD and RCTs to bring life-saving treatments to patients faster.

Real world data is changing the pharma industry and allowing companies to maximize value while minimizing the time and money spent. In addition, technology is evolving, and new methodologies are being developed, all of which contribute to the change. However, we still need to work on things such as diversity and inclusion.

Blood cancers make up more than 100 different diagnoses in the current classification system. And there are three main groups of blood cancer: leukemia, lymphoma, and myeloma. One of the most common leukemias in adults is chronic lymphocytic leukemia (CLL). In this episode of Real World Talk, our host Ming He welcomes Paul Barr, MD, the medical director of the Clinical Trials Office of the Wilmot Cancer Institute. They talk about the importance of Blood Cancer Awareness Month, the development of CLL treatments, and the potential use of real-world data in blood cancer research.