🤝We would like to congratulate the authors on their Best Paper Publication in the category Knowledge Graphs and Biomedicine: Virginia Calvoa, Emetis Niazmandb, Enric Carcereny, Delvys Rodriguez-Abreu, MD, PhD-, Manuel Cobo, Rafael López Castro, María Guirado, Carlos Camps, Ana Laura Ortega, Reyes Bernabé, Bartomeu Massutií, Rosario Garcia-Campelo, Edel del Barcon, Jose Luis Gonzalez Larriba, Joaquim Bosch Barrera, MD,PhD, Marta Martínez, Maria Torrente, Maria-Esther Vidal, and Mariano Provencio. 🚀 Titled "Family history of cancer and lung cancer: Utility of big data and artificial intelligence for exploring the role of genetic risk," this work explores how AI and knowledge graphs can be leveraged to better understand genetic risk factors for lung cancer. 🔎 Analyzing data from over 15,000 patients, the researchers revealed that a family history of cancer significantly increases the risk of lung cancer, especially in women, younger individuals, and even non-smokers. Key genetic mutations, such as EGFR and ALK, were identified as critical factors in these risks. 👾 This research has the potential to transform lung cancer risk assessment, enabling earlier detection and personalized prevention strategies — a significant leap forward for precision medicine. ➡️ Find out more about the paper here: https://lnkd.in/ekdZD3R2 #bestpaper #bestpublication #Graphs #Biomedicine
