Ricardo Armisén Y.
Centro de Genetica y Genomica, Instituto de Ciencias e Innovación en Medicina
Facultad de Medicina Clínica Alemana Universidad del Desarrollo
Cancer is a disease of profound complexity, driven by an accumulation of genetic and molecular alterations that fundamentally rewire cell behavior. While next-generation sequencing has revolutionized our ability to map this altered landscape, the sheer volume of data often obscures the critical signals driving malignancy. Translating this wealth of information into a deeper understanding of cancer biology and, ultimately, into better patient care remains a pivotal challenge in medicine.
In our lab, we confront this challenge by integrating artificial intelligence with state-of-the-art molecular biology. We harness the power of machine learning to analyze multi-omic datasets, allowing us to decipher complex patterns, predict disease progression, and identify novel vulnerabilities within cancer cells. Our interdisciplinary approach combines high-throughput sequencing and advanced bioinformatics with rigorous experimental validation in cell biology.
Our core mission is to bridge the gap between computational discovery and clinical application. By leveraging an AI-driven approach to understand the signaling pathways at the heart of cancer, we aim to uncover new therapeutic targets and develop predictive biomarkers. We are committed to transforming foundational biological knowledge into tangible strategies that advance precision oncology and directly benefit patients fighting cancer.