Empowering Precision Medicine in Neurodegenerative Diseases via Data Sharing Strategies and AI Innovations

About this Research Topic

Background

As part of this Research Topic, we are hosting a webinar and public Q&A featuring Prof. Michael Lutz (Duke University) and Dr. Jean-Marie Bouteiller (University of Southern California) on the 27 March 2025 at 16:00 UTC. Register to attend here: https://fro.ntiers.in/yUtA

Precision medicine holds immense promise for revolutionizing the treatment and prevention of neurodegenerative diseases. As populations age globally, the prevalence of disorders like Alzheimer's and Parkinson's is rising, creating an urgent need for more effective, personalized approaches. The integration of artificial intelligence and machine learning with multi-omics data analysis has opened new avenues for understanding disease mechanisms, identifying biomarkers, and developing targeted therapies. Yet, the full potential of precision medicine in neurodegenerative research remains constrained by challenges linked to data sharing​, data harmonization​ and integration​ across data types​. Several major data sharing initiatives are well-established including the AD Knowledge portal, the AMP-PD Knowledge platform and the Seattle Alzheimer’s Disease Brain Cell Atlas. Repositories exist for analysis code. Major efforts for harmonization of data include the Alzheimer’s Disease Sequencing Project Phenotype Harmonization Consortium and the RNAseq Harmonization Study. Guidelines for data and analytical methods sharing are issued by funders and journals. However, fragmentation in the policy landscape and data format standards have hindered the creation of a robust data-sharing ecosystem. Innovative strategies are needed to address these limitations while promoting interoperability and public engagement. By leveraging emerging technologies and promoting data-sharing strategies, researchers can accelerate the translation of precision medicine approaches from bench to bedside, ultimately improving outcomes for patients with neurodegenerative diseases.

This Research Topic aims to explore how data sharing and AI can empower precision medicine in the context of neurodegenerative diseases. By fostering a multidisciplinary dialogue, this collection seeks to highlight the ways in which big data, machine learning, and collaborative data infrastructures can accelerate breakthroughs in these fields.

We welcome submissions that address various aspects of precision medicine, data sharing, and AI, including but not limited to:
• Novel data sharing platforms and collaborations that support large-scale, multi-institutional research.
• AI-driven approaches for early diagnosis, prognosis, and personalized treatment strategies in neurodegenerative diseases.
• Integration of genomic, clinical, and real-world data to enhance disease modeling and therapeutic development.
• Ethical, legal, and social considerations in the use of AI and data sharing in precision medicine.
• Case studies demonstrating successful applications of AI and data sharing in clinical practice.
• Challenges and solutions related to data privacy, security, and interoperability in neurodegenerative disease research.

This Research Topic aims to bring together researchers, clinicians, and policymakers to advance our collective understanding of how data sharing and AI innovations can elevate precision medicine, ultimately leading to improved outcomes for patients living with neurodegenerative diseases.

We invite original research, reviews, case studies, and opinion articles that contribute to this crucial field. By amassing diverse perspectives and cutting-edge research, this collection will serve as a springboard for future innovations in the fight against neurodegenerative diseases.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Technology and Code

Keywords: neurodegeneration, precision medicine, data sharing, neurodegenerative disease, machine learning

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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