The Pituitary World News Podcast

In the latest episode of the Pituitary World News podcast, Jorge D. Faccinetti sits down with Dr. Markus Johnsson, Senior VP of R&D at Camurus, to explore the fascinating world of FluidCrystal® technology. This innovative approach promises to revolutionize the way we think about drug delivery, providing long-lasting solutions for chronic diseases particularly for people with acromegaly. Markus shares insights into the development process, the importance of patient feedback, and the future of drug delivery systems. The discussion highlights the significance of sustained release medications and the convenience of self-administration for patients.  Click on the link to learn more about  FluidCrystal®.

En el podcast de hoy hablamos con el Dr. Manel Puig Domingo sobre un estudio innovador que él encabezó y que se describe en un artículo reciente publicado en la revista PITUITARY. El artículo plantea la posibilidad de que los algoritmos de IA y el aprendizaje automático podrían proporcionar un enfoque revolucionario para el diagnóstico temprano de esta enfermedad compleja, cuyo diagnóstico actualmente tarda un promedio de 6 a 10 años. El artículo describe un sistema de reconocimiento facial impulsado por IA, AcroFace, que podría detectar la acromegalia mediante el análisis de fotografías faciales. Estos hallazgos preliminares presentan un sistema con un 93% de precisión. Si la investigación avanza y el programa se valida e implementa, promete ahorrar años de enfermedad no detectada. Sin duda prevendrá el desarrollo de complicaciones de condiciones relacionadas, transformará la acromegalia de una enfermedad incapacitante diagnosticada tardíamente a una condición detectada tempranamente y más manejable sin las molestas comorbilidades, y servirá como modelo para otras enfermedades raras con características faciales.

In today's podcast we talk with Dr. Manel Puig Domingo about an innovative study he spearheaded and outlined in a recent paper published in the journal PITUITARY.  The paper raises the possibility that AI algorithms and machine learning could provide a game-changing approach to the early diagnosis of this complex disease, which now takes an average of 6 to 10 years to diagnose. The paper outlines an AI-driven facial recognition system, AcroFace, that could detect acromegaly by analyzing facial photographs.   These early findings present a system that is 93% accurate.  If further research goes forward and the program is validated and deployed, it promises to save years of undetected disease. It will undoubtedly prevent the development of complications from related conditions, transform acromegaly from a late-diagnosed crippling disease to an early-detected, more manageable condition without the pesky comorbidities, and serve as a model for other rare diseases with facial features.

In today's podcast, Dr. Kevin Yuen, a world-renowned neuroendocrinologist, frequent PWN contributor, and medical director of the Barrow Neurological Institute, discusses Crinetics' new acromegaly drug Paltusotine (Palsonify™). The drug was recently approved by the Food and Drug Administration. Dr. Yuen explains how this new medication works and provides an excellent clinical perspective on his views to evaluating new therapies. Read Dr. Kevin Yuen's PWN articles here.

Can Artificial Intelligence make medical research easier to understand?  This AI-generated content (we hesitate to call it a traditional "podcast") was brought to our attention by one of Dr. Blevins' patients, who discovered it in a Facebook patient group. The creator used a well-known AI platform to analyze one of Dr. Blevins' recently published papers on PWN, translating the complex medical language into plain English with more accessible terms and less technical jargon. As you will hear, the platform generated a dialog. The goal was simply to better understand the content.  You can read Dr. Blevins' original paper, "The Evolution of Our Understanding of the Nuances of Pathologic Cortisol Secretion," [here].

After carefully reviewing the AI-generated content for accuracy, Dr. Blevins found that the platform did an excellent job of simplifying the material and making the language more approachable for patients and general audiences. Following thorough consideration, we decided to publish it on PWN—and here it is!

We Want to Hear From You

What are your thoughts on AI-generated medical content? Does this approach help bridge the communication gap between complex research and patient understanding? Please share your opinions with us at [email protected] or comment on this article.