Author

Ana Verdelho

University of LisbonORCID 0000-0003-4945-4946Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:benchmarking· 2 Research Focus:differential expression· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alexandre de MendonçaiD· 2 shared Adam Schwartz· 1 shared Alessandro PadovaniiD· 1 shared Alexandra L. YoungiD· 1 shared Anders WalliniD· 1 shared Andrea ArighiiD· 1 shared Andreia GomesiD· 1 shared Andrew J. SaykiniD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBiochemistry

Alexandre de MendonçaORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BiochemistrybioRxivPreprintNov 23, 2023

Unmasking Hidden Systemic Effects of Neurodegenerative Diseases: A Two-Pronged Approach to Biomarker Discovery

Sandra Isabel Anjo, Miguel Rosado, Inês Baldeiras…·Bruno J. Manadas

This paper evaluates HMW fractionation as a complementary proteomics approach to identify serum biomarkers for neurodegenerative diseases, showing improved discrimination compared to direct serum analysis.

DOI 10.1101/2023.11.23.568435

humanproteomics

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NeuroscienceStrokePeer-reviewedNov 8, 2019

Automated quantification of small vessel disease brain changes on MRI predicts cognitive and functional decline

Hanna Jokinen, Juha R. Koikkalainen, Hanna M. Laakso…·Timo Erkinjuntti

The paper uses automated MRI segmentation to quantify SVD brain changes and shows they predict cognitive and functional decline.

180 citationstop 1%

humanimaging

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NeuroscienceNature CommunicationsPeer-reviewedOct 9, 2018

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

Alexandra L. Young, Razvan Valentin Marinescu, Neil P. Oxtoby…·Ronald G. Thomas

This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.

596 citationstop 1%

humanimaging

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