Pietro Lió (Pietro Liò, Pietro Lio)

Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 23

Top Venues

Nature communications

Science immunology

Healthcare (Basel, Switzerland)

Faraday discussions

University of Cambridge

University of Florence (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Cambridge

United Kingdom

Professor of Computational Biology :: Computer Science and technology

Education History

University of Florence

Italy

PHD :: Genetics

University of Florence

Italy

PHD :: Engineering

Publications

Maximilian Gantz, Simon V Mathis, Friederike E H Nintzel, Pietro Lió, Florian Hollfelder
On synergy between ultrahigh throughput screening and machine learning in biocatalyst engineering. Faraday discussions (2024)
Munetomo Takahashi, Tsz Y So, Vitalina Chamberlain-Evans, Robert Hughes, Juan Carlos Yam-Puc, Katarzyna Kania, Michelle Ruhle, Tiffeney Mann, Martijn J Schuijs, Paul Coupland, Dean John Naisbitt, Timotheus Y F Halim, Paul A Lyons, Pietro Lió, Rahul Roychoudhuri, Klaus Okkenhaug, David J Adams, Kenneth G C Smith, Duncan Ian Jodrell, Michael A Chapman, James E D Thaventhiran
Intratumoral antigen signaling traps CD8 + T cells to confine exhaustion to the tumor site. Science immunology 9 (95) (2024)
Chaitanya K Joshi, Arian Rokkum Jamasb, Ramon Viñas, Charles Harris, Simon V Mathis, Alex Morehead, Rishabh Anand, Pietro Lió
gRNAde: Geometric Deep Learning for 3D RNA inverse design. bioRxiv : the preprint server for biology (2024)
Munetomo Takahashi, Tsz Y So, Vitalina Chamberlain-Evans, Robert Hughes, Juan Carlos Yam-Puc, Katarzyna Kania, Michelle Ruhle, Tiffeney Mann, Martijn J Schuijs, Paul Coupland, Dean John Naisbitt, Timotheus Y F Halim, Paul A Lyons, Pietro Lió, Rahul Roychoudhuri, Klaus Okkenhaug, David J Adams, Kenneth G C Smith, Duncan Ian Jodrell, Michael A Chapman, James E D Thaventhiran
Intratumoral antigen signaling traps CD8 + T cells to confine exhaustion to the tumor site. Science immunology 9 (95) (2024)
David Buterez, Jon Paul Janet, Steven J Kiddle, Dino Oglic, Pietro Lió
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting. Nature communications 15 (1) (2024)
Munetomo Takahashi, Tsz Y So, Vitalina Chamberlain-Evans, Robert Hughes, Juan Carlos Yam-Puc, Katarzyna Kania, Michelle Ruhle, Tiffeney Mann, Martijn J Schuijs, Paul Coupland, Dean John Naisbitt, Timotheus Y F Halim, Paul A Lyons, Pietro Lió, Rahul Roychoudhuri, Klaus Okkenhaug, David J Adams, Kenneth G C Smith, Duncan Ian Jodrell, Michael A Chapman, James E D Thaventhiran
Intratumoral antigen signaling traps CD8 + T cells to confine exhaustion to the tumor site. Science immunology 9 (95) (2024)
Maximilian Gantz, Simon V Mathis, Friederike E H Nintzel, Pietro Lió, Florian Hollfelder
On synergy between ultrahigh throughput screening and machine learning in biocatalyst engineering. Faraday discussions (2024)
Chaitanya K Joshi, Arian Rokkum Jamasb, Ramon Viñas, Charles Harris, Simon V Mathis, Alex Morehead, Rishabh Anand, Pietro Lió
gRNAde: Geometric Deep Learning for 3D RNA inverse design. bioRxiv : the preprint server for biology (2024)
Chaitanya K Joshi, Arian Rokkum Jamasb, Ramon Viñas, Charles Harris, Simon V Mathis, Alex Morehead, Rishabh Anand, Pietro Lió
gRNAde: Geometric Deep Learning for 3D RNA inverse design. bioRxiv : the preprint server for biology (2024)
David Buterez, Jon Paul Janet, Steven J Kiddle, Dino Oglic, Pietro Lió
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting. Nature communications 15 (1) (2024)
Maximilian Gantz, Simon V Mathis, Friederike E H Nintzel, Pietro Lió, Florian Hollfelder
On synergy between ultrahigh throughput screening and machine learning in biocatalyst engineering. Faraday discussions (2024)
David Buterez, Jon Paul Janet, Steven J Kiddle, Dino Oglic, Pietro Lió
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting. Nature communications 15 (1) (2024)
David Buterez, Jon Paul Janet, Steven J Kiddle, Dino Oglic, Pietro Lió
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting. Nature communications 15 (1) (2024)
Munetomo Takahashi, Tsz Y So, Vitalina Chamberlain-Evans, Robert Hughes, Juan Carlos Yam-Puc, Katarzyna Kania, Michelle Ruhle, Tiffeney Mann, Martijn J Schuijs, Paul Coupland, Dean John Naisbitt, Timotheus Y F Halim, Paul A Lyons, Pietro Lió, Rahul Roychoudhuri, Klaus Okkenhaug, David J Adams, Kenneth G C Smith, Duncan Ian Jodrell, Michael A Chapman, James E D Thaventhiran
Intratumoral antigen signaling traps CD8 + T cells to confine exhaustion to the tumor site. Science immunology 9 (95) (2024)
David Buterez, Jon Paul Janet, Steven J Kiddle, Dino Oglic, Pietro Lió
Transfer learning with graph neural networks for improved molecular property prediction in the multi-fidelity setting. Nature communications 15 (1) (2024)
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramon Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, Jacobus Preller, null null, James H F Rudd, Tuomas K Mirtti, Antti Sakari Rannikko, John A D Aston, Jing Tang, Carola-Bibiane Schönlieb
The impact of imputation quality on machine learning classifiers for datasets with missing values. Communications medicine 3 (1) (2023)
Tiago Azevedo, Richard A I Bethlehem, David J Whiteside, Nol Swaddiwudhipong, James B Rowe, Pietro Lió, Timothy Rittman, null null
Identifying healthy individuals with Alzheimer's disease neuroimaging phenotypes in the UK Biobank. Communications medicine 3 (1) (2023)
Md Martuza Ahamad, Sakifa Aktar, Md Jamal Uddin, Md Rashed-Al-Mahfuz, A K M Azad, Shahadat Uddin, Salem Ali Alyami, Iqbal H Sarker, Asaduzzaman Khan, Pietro Lió, Julian M W Quinn, Mohammad Ali Moni
Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity. Healthcare (Basel, Switzerland) 11 (1) (2022)
Yanan Wang, Yu Guang Wang, Changyuan Hu, Ming Li, Yanan Fan, Nina Otter, Ikuan Sam, Hongquan Gou, Yiqun Hu, Terry Kwok, John Zalcberg, Alex Boussioutas, Roger J Daly, Guido Montúfar, Pietro Lió, Dakang Xu, Geoffrey I Webb, Jiangning Song
Cell graph neural networks enable the precise prediction of patient survival in gastric cancer. NPJ precision oncology 6 (1) (2022)
Md Martuza Ahamad, Sakifa Aktar, Md Jamal Uddin, Md Rashed-Al-Mahfuz, A K M Azad, Shahadat Uddin, Salem Ali Alyami, Iqbal H Sarker, Asaduzzaman Khan, Pietro Lió, Julian M W Quinn, Mohammad Ali Moni
Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity. Healthcare (Basel, Switzerland) 11 (1) (2022)
Md Martuza Ahamad, Sakifa Aktar, Md Jamal Uddin, Md Rashed-Al-Mahfuz, A K M Azad, Shahadat Uddin, Salem Ali Alyami, Iqbal H Sarker, Asaduzzaman Khan, Pietro Lió, Julian M W Quinn, Mohammad Ali Moni
Adverse Effects of COVID-19 Vaccination: Machine Learning and Statistical Approach to Identify and Classify Incidences of Morbidity and Postvaccination Reactogenicity. Healthcare (Basel, Switzerland) 11 (1) (2022)
Francesco Bardozzo, Pietro Lió, Roberto Tagliaferri
Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks. Bioinformatics (Oxford, England) 37 (10) (2021)
Alessandro Di Stefano, Marialisa Scatà, Supreeta Vijayakumar, Claudio Angione, Aurelio La Corte, Pietro Lió
Social dynamics modeling of chrono-nutrition. PLoS computational biology 15 (1) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pietro Lió (Pietro Liò, Pietro Lio)