Learn from Machine Learning: The Identification of Biomarkers and Therapeutic Targets in Neurodegeneration

Dear Colleagues,

We are pleased to invite you to submit original research articles, short reports, or reviews to a Special Issue entitled “Learn from Machine Learning: The Identification of Biomarkers and Therapeutic Targets in Neurodegeneration” prepared for the journal Biomolecules.

Neurodegeneration refers to the progressive atrophy and loss of function of neurons in the central nervous system and is a hallmark of many neurodegenerative diseases, such as Alzheimer's disease (AD), Parkinson's disease (PD), amyotrophic lateral sclerosis (ALS), and frontotemporal dementia (FTD). Due to the complex etiology, it has now been appreciated that a systematic understanding of disease progression empowered by large-scale omics data is necessary to delineate the pathological landscape and identify effective treatment strategies. The recent advancements in data mining and machine/deep learning algorithms have presented an unprecedented opportunity to translate large data collected from animal models and primary patients into biological and clinical insights, including, but not limited to: the identification of diagnostic biomarkers and therapeutic targets, prediction of disease progress and patient survival, treatment regimen personalization, drug repurposing, and disease model optimization. This Special Issue aims to provide a platform for reviewing advances and progression in machine learning and deep learning in neurodegenerative disease research. Other computational innovations in data mining that contribute to the mechanistic understanding, diagnosis, and treatment of neurodegeneration are also welcome.

Dr. Haibo Wang
Dr. Chen Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomolecules is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.