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    Dr Pietro Lio'

    University Position
    Professor

    Interests

    I am a Reader in Computational Biology in the Computer Laboratory which is the department of Computer Science of the University of Cambridge and I am a member of the Artificial Intelligence group of the Computer Laboratory. I hold a PhD in Complex Systems and Non Linear Dynamics (School of Informatics, dept of Engineering of the University of Firenze, Italy) and a PhD in (Theoretical) Genetics (University of Pavia, Italy). My research interests are: Bioinformatics algorithms, Predictive models in Personalised medicine, Modeling comorbidity and aging, Methods for combining Multi scale biological processes, Statistics of Multi omics and Multi physics modelling of molecules-cell-tissue-organ interactions.

    Key Publications

    Identifying healthy individuals with Alzheimer’s disease neuroimaging phenotypes in the UK Biobank.

    DOI: http://doi.org/10.1038/s43856-023-00313-w
    Journal: Commun Med (Lond)
    E-pub date: 20 Jul 2023
    Authors: T Azevedo, RAI Bethlehem, DJ Whiteside, N Swaddiwudhipong, JB Rowe, P Lió, T Rittman, Alzheimer’s Disease Neuroimaging Initiative

    Publications

    ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology.

    DOI: http://doi.org/10.1038/s41592-023-01815-0
    Journal: Nat Methods
    E-pub date: 1 Apr 2023
    Authors: M Lu, CN Christensen, JM Weber, T Konno, NF Läubli, KM Scherer, E Avezov, P Lio, AA Lapkin, GS Kaminski Schierle, CF Kaminski

    ERnet: a tool for the semantic segmentation and quantitative analysis of endoplasmic reticulum topology for video-rate super-resolution imaging

    DOI: http://doi.org/10.1101/2022.05.17.492189
    Journal:
    E-pub date: 1 Aug 2022
    Authors: M Lu, C Christensen, J Weber, T Konno, N Läubli, K Scherer, E Avezov, P Lio, A Lapkin, G Kaminski Schierle, C Kaminski

    A class-contrastive human-interpretable machine learning approach to predict mortality in severe mental illness.

    DOI: http://doi.org/10.1038/s41537-021-00191-y
    Journal: NPJ Schizophr
    E-pub date: 8 Dec 2021
    Authors: S Banerjee, P Lio, PB Jones, RN Cardinal

    Mapping the human genetic architecture of COVID-19.

    DOI: http://doi.org/10.1038/s41586-021-03767-x
    Journal: Nature
    E-pub date: 1 Dec 2021
    Authors: COVID-19 Host Genetics Initiative

    Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

    DOI: http://doi.org/10.1038/s42256-021-00307-0
    Journal: Nature Machine Intelligence
    E-pub date: 1 Mar 2021
    Authors: M Roberts, D Driggs, M Thorpe, J Gilbey, M Yeung, S Ursprung, AI Aviles-Rivero, C Etmann, C McCague, L Beer, JR Weir-McCall, Z Teng, E Gkrania-Klotsas, A Ruggiero, A Korhonen, E Jefferson, E Ako, G Langs, G Gozaliasl, G Yang, H Prosch, J Preller, J Stanczuk, J Tang, J Hofmanninger, J Babar, LE Sánchez, M Thillai, PM Gonzalez, P Teare, X Zhu, M Patel, C Cafolla, H Azadbakht, J Jacob, J Lowe, K Zhang, K Bradley, M Wassin, M Holzer, K Ji, MD Ortet, T Ai, N Walton, P Lio, S Stranks, T Shadbahr, W Lin, Y Zha, Z Niu, JHF Rudd, E Sala, CB Schönlieb

    Evidence in cortical folding patterns for prenatal predispositions to hallucinations in schizophrenia.

    DOI: http://doi.org/10.1038/s41398-020-01075-y
    Journal: Transl Psychiatry
    E-pub date: 6 Nov 2020
    Authors: CPE Rollins, JR Garrison, M Arribas, A Seyedsalehi, Z Li, RCK Chan, J Yang, D Wang, P Liò, C Yan, Z-H Yi, A Cachia, R Upthegrove, B Deakin, JS Simons, GK Murray, J Suckling

    The neurodevelopment of anomalous perception: Evidence in cortical folding patterns for prenatal predispositions to hallucinations in schizophrenia

    DOI: http://doi.org/10.1101/2020.06.04.20122424
    Journal:
    E-pub date: 1 Aug 2020
    Authors: CPE Rollins, J Garrison, M Arribas, A Seyedsalehi, Z Li, RCK Chan, J Yang, D Wang, P Lio, C Yan, Z-H Yi, A Cachia, R Upthegrove, B Deakin, J Simons, G Murray, J Suckling

    Neural network fusion: a novel CT-MR Aortic Aneurysm image segmentation method.

    DOI: http://doi.org/10.1117/12.2293371
    Journal: Proc SPIE Int Soc Opt Eng
    E-pub date: 2 Mar 2018
    Authors: D Wang, R Zhang, J Zhu, Z Teng, Y Huang, F Spiga, M Hong-Fei Du, JH Gillard, Q Lu, P Liò