Machine Learning Frontiers in Precision Medicine

Deliverables

Other (4)

Software implementing the method developed

ESR 9: Software implementing the method developed

1st summer school

1st summer school

Systematic review on existing methods

ESR 9: Systematic review on existing methods

2nd summer school

2nd summer school

Documents, reports (4)

Methodology to embed sparse somatic genetic profiles

ESR 5: Methodology to embed sparse somatic genetic profiles

Comparison of methods for network analysis of individual omics data

ESR 12: Comparison of methods for network analysis of individual comics data

Publication describing the application of current causal inference tools to a representative use-case

ESR 14: Publication describing the application of current causal inference tools to a representative use-case

Deep learning methods to find molecular components relevant for signaling that define functions that can be related to phenotypes (disease, drug response, etc.)

ESR 9: Deep learning methods to find molecular components relevant for signaling that define functions that can be related to phenotypes (disease, drug response, etc.)

Websites, patent fillings, videos etc. (1)

e-ETN: Setup of homepage

e-ETN: Setup of homepage

Open Research Data Pilot (1)

Central Data Repository for Open Research Data Pilot

Central Data Repository for Open Research Data Pilot

Publications

Peer reviewed articles (4)

Biological network analysis with deep learning

Author(s): Giulia Muzio, Leslie O’Bray, Karsten Borgwardt
Published in: Briefings in Bioinformatics, 2020, ISSN 1467-5463
DOI: 10.1093/bib/bbaa257

AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19

Author(s): Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar, Diwakar Mahajan, Bharath Dandala, Piyush Madan, Anshul Agrawal, Charles Wachira, Osebe Mogaka Samuel, Osnat Bar-Shira, Clifton Kipchirchir, Sharon Okwako, William Ogallo, Fred Otieno, Timothy Nyota, Fiona Matu, Vesna Resende Barros, Daniel Shats, Oren Kagan, Sekou Remy, Oliver Bent, Pooja Guhan, Shilpa Mahatma, Aisha Walcott-Bryant, Div
Published in: Scientific Data, Issue 8/1, 2021, ISSN 2052-4463
DOI: 10.1038/s41597-021-00878-y

Shift in Social Media App Usage During COVID-19 Lockdown and Clinical Anxiety Symptoms: Machine Learning–Based Ecological Momentary Assessment Study

Author(s): Jihan Ryu, Emese Sükei, Agnes Norbury, Shelley H Liu, Juan José Campaña-Montes, Enrique Baca-Garcia, Antonio Artés, M Mercedes Perez-Rodriguez
Published in: JMIR Mental Health, Issue 8/9, 2021, Page(s) e30833, ISSN 2368-7959
DOI: 10.2196/30833

Predicting Emotional States Using Behavioral Markers Derived From Passively Sensed Data: Data-Driven Machine Learning Approach

Author(s): Emese Sükei, Agnes Norbury, M Mercedes Perez-Rodriguez, Pablo M Olmos, Antonio Artés
Published in: JMIR mHealth and uHealth, Issue 9/3, 2021, Page(s) e24465, ISSN 2291-5222
DOI: 10.2196/24465

Book chapters (1)

Network Aggregation to Enhance Results Derived from Multiple Analytics

Author(s): Diane Duroux, Héctor Climente-González, Lars Wienbrandt, Kristel Van Steen
Published in: Artificial Intelligence Applications and Innovations - 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part I, Issue 583, 2020, Page(s) 128-140
DOI: 10.1007/978-3-030-49161-1_12