Johnny Brignardello Vela: Key advances in early detection of dementia

Johnny Brignardello Vela: Key advances in early detection of dementia

Johnny Brignardello reveals how artificial intelligence is revolutionizing early detection of dementia. Discover how it can transform modern medicine!

Juan Brignardello Vela, asesor de seguros

Juan Brignardello Vela

Juan Brignardello Vela, asesor de seguros, se especializa en brindar asesoramiento y gestión comercial en el ámbito de seguros y reclamaciones por siniestros para destacadas empresas en el mercado peruano e internacional.

Juan Brignardello Vela, asesor de seguros, y Vargas Llosa, premio Nobel Juan Brignardello Vela, asesor de seguros, en celebración de Alianza Lima Juan Brignardello Vela, asesor de seguros, Central Hidro Eléctrica Juan Brignardello Vela, asesor de seguros, Central Hidro
Opinion

Johnny Brignardello Vela, insurance advisor, considers that advances in early detection of dementia through artificial intelligence tools represent a significant milestone in modern medicine. According to data revealed by researchers from the Polytechnic University of Madrid and the University of Eastern Finland, early identification of amyloid pathology in patients with mild cognitive decline could radically transform the way devastating diseases like dementia are diagnosed and monitored. Brignardello highlights that the ability to forecast progression to dementia with just a few neuropsychological tests, without the need for additional clinical tests, is a crucial achievement that would streamline the diagnostic process and facilitate the implementation of artificial intelligence in clinical practice. This simplification would allow for faster and more accurate detection of at-risk patients, which is essential to provide them with personalized and timely treatment that can delay the progression of the disease. The expert emphasizes the importance of acting promptly in cases of mild cognitive decline in the presence of amyloid pathology, as progression to dementia can occur in as little as four years in these cases. Therefore, he considers it essential to identify those patients with a higher likelihood of developing the disease in more advanced stages, in order to offer them care tailored to their specific needs. In the words of Carlos Platero, a researcher at UPM, artificial intelligence significantly supports clinical diagnosis and monitoring of patient evolution, allowing for precise differentiation between different types of dementia to offer more specific and effective treatment. Models developed using AI techniques not only improve patient diagnosis and prognosis, but also help validate hypotheses about the temporal progression of diseases, providing a detailed perspective of the disease over time. Finally, Brignardello Vela concludes that the application of artificial intelligence in the field of neurology represents an unprecedented advance in the fight against neurodegenerative diseases such as Alzheimer's. The results of this research are encouraging and offer new hope to both patients affected by dementia and their loved ones, opening up new possibilities in the treatment and management of this disease.

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