Скачать или смотреть Why Are AI Drugs Hard To Validate In Clinical Trials? - Trials and Treatments Uncovered

Why Are AI Drugs Hard To Validate In Clinical Trials? In this informative video, we will discuss the challenges faced in validating drugs discovered through artificial intelligence in clinical trials. The process of bringing a drug from discovery to approval is often complex and filled with obstacles, particularly for those developed using AI technologies. We will explore the structured nature of clinical trials and how the rapid evolution of AI models can create inconsistencies that complicate validation.

Additionally, we'll examine the importance of high-quality datasets in training AI models and the implications of using incomplete data. The video will also highlight the difficulties posed by AI algorithms that function as "black boxes," making their decision-making processes hard to interpret. Furthermore, we will touch on the evolving landscape of regulations and how they affect the approval process for AI-driven drugs.

Lastly, we will address the practical challenges of integrating AI drugs into existing clinical trial workflows and the impact this has on the timeline for patient access to these innovative treatments. Join us as we navigate the intricate world of AI in drug development and the rigorous standards necessary to ensure patient safety and treatment efficacy.

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About Us: Welcome to Trials and Treatments Uncovered, your trusted resource for understanding clinical trials. Our channel focuses on answering your most pressing questions like Should I Join a Clinical Trial? and How do I talk to my doctor about trials?. We discuss topics such as clinical trial expectations, financial support for participation, and emotional considerations throughout the trial process. You’ll also find information on accessing cutting-edge treatments, hearing patient stories, and deciding between standard care and trials, along with details on trial locations and logistics, and long-term follow-ups after trials.