Artificial Intelligence in Medicine

Today in Medmultilingua


Pancreatic cancer remains one of the deadliest malignancies: silent, hard to detect, and resistant to conventional therapies. Icons such as Steve Jobs, Patrick Swayze, and David Bowie remind us of its devastating impact.

In this context, the U.S. FDA has approved daraxonrasib (Rasonque), a breakthrough targeted therapy. Unlike chemotherapy, daraxonrasib blocks the KRAS protein—a genetic driver that keeps cancer cells growing uncontrollably. Administered as two pills a day, it offers a simpler regimen with remarkable results.

In a phase 3 trial with 500 patients suffering metastatic pancreatic cancer, survival nearly doubled: 13.2 months with daraxonrasib versus 6.6 months with chemotherapy. Some patients lived for years, an outcome rarely seen in this disease.

This milestone not only brings real hope to pancreatic cancer patients but also opens the door to KRAS-targeted therapies in other cancers such as lung and colon. While cost and global access remain uncertain, the approval signals a paradigm shift toward precision medicine—transforming genetic insights into longer lives and renewed hope.

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From its earliest conceptual roots in the mid‑20th century, artificial intelligence emerged from the ambition to build machines capable of reasoning, learning, and adapting. Early pioneers explored symbolic logic and simple computational models, laying the groundwork for systems that could mimic fragments of human cognition. As research expanded, AI evolved from rule‑based programs into powerful learning architectures capable of processing vast datasets and uncovering complex patterns. This steady progression transformed AI from a theoretical curiosity into a driving force of scientific and technological innovation, reshaping fields such as medicine, biology, and global health with unprecedented speed and impact

Dr. Marco Benavides

Medicine & Surgery