Reverse Translational Research Explained: What AI Is Really Doing in Medicine скачать в хорошем качестве

Reverse Translational Research Explained: What AI Is Really Doing in Medicine

Artificial intelligence is transforming healthcare, but what does it actually change in medical science? In this conversation, physicians and researchers Ignacio H. Medrano (Founder, CMO & MD) and Miren Taberna (CSO, MD, PhD) explore how AI and real-world evidence are redefining oncology research and clinical decision-making. The discussion centres on a key shift in modern medicine: reverse translational research. Instead of moving only from laboratory discoveries to patients, structured information extracted from routine clinical care can now inform research, drug development, and treatment strategies. Using technologies such as clinical natural language processing (cNLP), large volumes of unstructured clinical histories can be transformed into analysable data, enabling longitudinal understanding of disease progression, treatment pathways, adverse events, and outcomes. Topics covered include: • Why traditional registries and static datasets are no longer sufficient • The growing role of real-world evidence alongside clinical trials • The importance of regulatory-grade data and validation frameworks • The European Health Data Space and interoperable research ecosystems • Human-in-the-loop validation and clinical oversight in AI systems • How AI could improve cancer staging, prognosis, and treatment selection Rather than replacing clinical trials, real-world evidence complements them, helping researchers design better studies and physicians make more informed treatment decisions. This conversation offers a grounded view of medical AI — not as hype, but as a tool to close the loop between patient care and scientific discovery. #MedicalAI #Oncology #RealWorldEvidence #ClinicalResearch #PrecisionMedicine #HealthData #ArtificialIntelligence #CancerResearch