Author Biographies

José E. Valerio is an expert in minimally invasive spine and brain tumor surgery using endoscopic navigation and radiosurgery utilizing the Leksell Gamma Knife at the Miami Neuroscience Center, Larkin Community Hospital. He earned his medical degree from the Universidad Autónoma de Guadalajara in México and completed his medical internship at the Universidad de Costa Rica. He completed his neurological surgery residency at the Universidad Nacional Autónoma de México, his post-doctoral fellowship in cerebrovascular neurosurgery at University Hospital (affiliated with Case Western Reserve University), and his clinical fellowship in neurosurgical oncology and spine at the Cleveland Clinic in Ohio. He completed his education with a Master of Business Administration from George Washington University. He is the Director of the Brain Tumor & Minimally Invasive Spine Symposium organized by the Latin America Valerio Foundation. He specializes in surgical spine techniques, such as arthroplasty, minimally invasive spine surgery, kyphoplasty, and spine tumor surgery.
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Dr. Andrés M. Alvarez-Pinzon, MD, PhD, is Consultant Vice President of Innovation at the Latino America Valerio Foundation and Research Associate Professor at the Charles E. Schmidt College of Medicine, Florida Atlantic University. A fellowship-trained physician-scientist in neurosurgical oncology and immunology, Dr. Alvarez-Pinzon spearheads interdisciplinary initiatives that integrate artificial intelligence into clinical and translational neuroscience. His research centers on the application of AI-driven methodologies to enhance neurosurgical decision-making, personalize cancer therapy, and improve outcomes for patients with complex central nervous system tumors. He holds dual doctoral degrees in Cancer Neuroscience and Medical Bioethics, underscoring his commitment to both scientific advancement and the ethical deployment of emerging technologies in medicine. His work bridges the bench-to-bedside continuum, advancing precision neurosurgery through data science, computational modeling, and translational bioethics.
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