Relationships and representations of brain structures, connectivity, dynamics and functions DOI
Oliver Schmitt

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2025, Volume and Issue: unknown, P. 111332 - 111332

Published: March 1, 2025

Language: Английский

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications DOI Open Access

Răzvan Onciul,

Cătălina-Ioana Tătaru,

Adrian Dumitru

et al.

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(2), P. 550 - 550

Published: Jan. 16, 2025

The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding the brain, unlocking new possibilities in research, diagnosis, therapy. This review explores how AI’s cutting-edge algorithms—ranging from deep learning to neuromorphic computing—are revolutionizing by enabling analysis complex neural datasets, neuroimaging electrophysiology genomic profiling. These advancements are transforming early detection neurological disorders, enhancing brain–computer interfaces, driving personalized medicine, paving way for more precise adaptive treatments. Beyond applications, itself has inspired AI innovations, with architectures brain-like processes shaping advances algorithms explainable models. bidirectional exchange fueled breakthroughs such as dynamic connectivity mapping, real-time decoding, closed-loop systems that adaptively respond states. However, challenges persist, including issues data integration, ethical considerations, “black-box” nature many systems, underscoring need transparent, equitable, interdisciplinary approaches. By synthesizing latest identifying future opportunities, this charts a path forward integration neuroscience. From harnessing multimodal cognitive augmentation, fusion these fields not just brain science, it reimagining human potential. partnership promises where mysteries unlocked, offering unprecedented healthcare, technology, beyond.

Language: Английский

Citations

11

Implementing a tridimensional diagnostic framework for personalized medicine in neurodegenerative diseases DOI Creative Commons
Manuel Menéndez‐González

Alzheimer s & Dementia, Journal Year: 2025, Volume and Issue: 21(2)

Published: Feb. 1, 2025

Abstract Neurodegenerative diseases (NDDs) pose a significant challenge in modern medicine due to their clinical heterogeneity, multifactorial etiologies, and frequent co‐pathologies. Traditional diagnostic systems, based on symptoms post mortem findings, are limited capturing the complex interactions among genetic, molecular, neuroanatomical factors. This manuscript introduces novel tridimensional framework that integrates these factors across three key axes: etiology (genetic environmental influences), molecular markers (primary secondary biomarkers), neuroanatomoclinical correlations. Through case studies, we demonstrate framework's ability synthesize incomplete datasets, stratify patients, guide precision medicine. By incorporating omics technologies, neuroimaging, AI‐driven probabilistic modeling, enhances accuracy relevance. approach may contribute overcoming limitations of traditional nosologies, offering scalable adaptable tool for both practice research advancing field NDD management. Highlights Tridimensional system : We propose new incorporates axes – etiology, markers, neuroanatomical‐clinical correlations enhance NDDs. Personalized The enables integration data, allowing highly personalized treatment strategies tailored individual patients. Proteinopathies as biomarkers emphasizes use primary proteinopathies (amyloid, tau, synuclein) (eg, NfL, GFAP) monitor disease progression efficacy. Addressing heterogeneity accommodates complexity NDDs, an classical conditions like Alzheimer's disease, Parkinson's frontotemporal dementia, ALS. Case studies real‐world application Practical illustrate how this can be implemented practice, enabling combination DMTs with symptomatic treatments.

Language: Английский

Citations

1

Towards advanced regenerative therapeutics to tackle cardio-cerebrovascular diseases DOI Creative Commons
Xi Chen,

Weiping Lin,

Micky D. Tortorella

et al.

American Heart Journal Plus Cardiology Research and Practice, Journal Year: 2025, Volume and Issue: 53, P. 100520 - 100520

Published: March 1, 2025

The development of vascularized organoids as novel modelling tools the human cardio-cerebrovascular system for preclinical research has become an essential platform studying tissues/organs personalized therapeutics during recent decades. Organ-on-chip technology is promising investigating physiological in vitro responses drug screening and advanced disease models. Vascularized tissue/organ-on-a-chip benefits every step discovery pipeline a tool with close genome relevance to investigate systems biology. Simultaneously, cardio-cerebrovascular-on-chip-integrated microfluidic serves alternative animal (patho-)physiological processes blood vessels embryonic disease. Integrated next-generation techniques, such three-dimensional bioprinting both cells matrix, may enable organoid-on-chip-based therapeutics.

Language: Английский

Citations

0

Relationships and representations of brain structures, connectivity, dynamics and functions DOI
Oliver Schmitt

Progress in Neuro-Psychopharmacology and Biological Psychiatry, Journal Year: 2025, Volume and Issue: unknown, P. 111332 - 111332

Published: March 1, 2025

Language: Английский

Citations

0