Author

M. Milanesi

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1 Evolutionary Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:cell type annotation· 2 Organism:chicken / avian· 1 Research Focus:chromatin & epigenetic regulation· 1 Assay:cryo-EM· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1

Frequent Co-Authors

A. H. Herlihy· 1 shared A. M. Hoy· 1 shared C. Masembe· 1 shared C. Mukasa· 1 shared E. Fabrizi· 1 shared E. Rochat· 1 shared E. Vajana· 1 shared F. Kabi· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPathology

A. H. Herlihy

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Author profile →

3 papers

Recent·Most cited

Transient interactions between the fuzzy coat and the cross-β core of brain-derived Aβ42 filaments

M. Milanesi, Z. F. Brotzakis, M. Vendruscolo

This study uses MEMMI to analyze the transient interactions between the fuzzy coat and cross-β core of Aβ42 filaments, revealing differences in solubility between familial and sporadic AD forms.

bioRxiv · Jan 8, 2024Biophysics

Combining landscape genomics and ecological modelling to investigate local adaptation of indigenous Ugandan cattle to East Coast fever

E. Vajana, M. Barbato, L. Colli, M. Milanesi, E. Rochat, E. Fabrizi, C. Mukasa, M. Del Corvo, C. Masembe, V. Muwanika, F. Kabi, T. S. Sonstegard, H. J. Huson, R. Negrini, S. Joost, , NextGen Consortium

The paper investigates genetic bases of East Coast fever tolerance in Ugandan cattle using landscape genomics and identifies candidate adaptive loci associated with tick resistance and infection tolerance.

bioRxiv · May 5, 2018Evolutionary Biology

Non-invasive Assessment of Liver Disease in Rats Using Multiparametric Magnetic Resonance Imaging: A Feasibility Study

A. M. Hoy, N. McDonald, R. J. Lennen, M. Milanesi, A. H. Herlihy, T. J. Kendall, W. Mungall, M. Gyngell, R. Banerjee, R. L. Janiczek, P. S. Murphy, M. A. Jansen, J. A. Fallowfield

This study evaluates multiparametric MRI in rat models of liver disease, showing correlations between MRI parameters and histopathological measures, particularly for fatty liver disease.

bioRxiv · Feb 7, 2018Pathology