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Machine Learning

Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care

Abstract Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in social communication, repetitive behaviors, and sensory processing. Despite its prevalence, diagnosis can [...]

2025-02-05T16:53:04+01:00Febbraio 5th, 2025|Pubblicazioni|

Neuroprotective Potential of Indole-Based Compounds: A Biochemical Study on Antioxidant Properties and Amyloid Disaggregation in Neuroblastoma Cells

Abstract Based on the established neuroprotective properties of indole-based compounds and their significant potential as multi-targeted therapeutic agents, a series of synthetic indole–phenolic compounds was [...]

2025-01-02T11:51:58+01:00Dicembre 23rd, 2024|Pubblicazioni|

Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry

Abstract Schizophrenia, a highly complex psychiatric disorder, presents significant challenges in diagnosis and treatment due to its multifaceted neurobiological underpinnings. Recent advancements in functional magnetic [...]

2024-12-02T13:14:52+01:00Dicembre 2nd, 2024|Pubblicazioni|

Artificial Intelligence: the “Trait D’Union” in Different Analysis Approaches of Autism Spectrum Disorder Studies

Abstract Autistic Spectrum Disorder (ASD) is a neurodevelopmental condition affecting approximately 1 out of 70 (range 1:59 - 1:89) children worldwide. It is characterized by [...]

2021-04-26T12:25:21+02:00Febbraio 22nd, 2021|Pubblicazioni|
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