Daniele Malpetti

Lecturer-Researcher

Dalle Molle Institute for Artificial Intelligence Research

Switzerland

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Daniele Malpetti is a Lecturer-Researcher at the Dalle Molle Institute for Artificial Intelligence Research in Switzerland. His research areas encompass machine learning applications in healthcare, particularly focusing on perinatal depression and chronic kidney injury. Recent publications include studies on interpretable single-cell RNA-seq deconvolution methods and the impact of psychosocial factors on mental health. Additionally, he explores complex entanglement in hypergraphs within the field of quantum information.

Articles (6)

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Collaborators (2)

David Legouis

University of Geneva

SWITZERLAND

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Maarten Naesens

Katholieke Universiteit Leuven

BELGIUM

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Daniele Malpetti

Research Interests

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Articles (6)

Protocol for interpretable and context-specific single-cell-informed deconvolution of bulk RNA-seq data

Spatiotemporal Landscape of Kidney Tubular Responses to Glomerular Proteinuria

A machine learning model to predict the risk of perinatal depression: Psychosocial and sleep-related factors in the Life-ON study cohort

Optimal risk and diagnosis assessment strategies in perinatal depression: A machine learning approach from the life-ON study cohort

Impaired fatty acid metabolism perpetuates lipotoxicity along the transition to chronic kidney injury

Multipartite entanglement in qudit hypergraph states

Collaborators (2)

David Legouis

Maarten Naesens

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