Benevolent Platform Precision Medicine
Some of our recent publications
Knowledge
Wiatrak et al. (202`1)
Zero-Shot Metric Learning Entity
Linking submitted to Transactions
of ACL.
Shah and Fauqueur (2020)
Learning Informative
Representations of Biomedical
Relations with Latent Variable
Models, in EMNLP 2020, SustaiNLP
Workshop.
Wiatrak and Iso-Sipila (2020)
Simple Hierarchical Multi-Task
End-to-End Entity Linking for
Biomedical Text in
EMNLP 2020, LOUHI Workshop.
Target Identification
• Dunbar et al. (2021)
Transforming drug target
identification in CKD: a
multidisciplinary artificial
intelligence-based approach
submitted to Nature Comms.
Paliwal et al. (2020)
Preclinical validation of
therapeutic targets predicted by
tensor factorization on
heterogeneous graphs in Nature
Scientific Reports.
Myszczynska et al. (2020)
Applications of machine learning
to diagnosis and treatment of
neurodegenerative diseases, in
Nature Reviews Neurology.
Precision Medicine
Foster et al. (2021) Contrastive
Mixture of Posteriors for
Counterfactual Inference, Data
Integration and Fairness
submitted to NeurIPS 2021.
Sim et al. (2021) Directed Graph
Embeddings in
Pseudo-Riemannian Manifolds in
ICML 2021.
⚫. Schneider and Tomlinson (2020)
Auxiliary task evaluations to
learn meaningful
representations from electronic
health records in
NeurIPS 2020, Workshop on
Learning Meaningful
Representations of Life.
Chemistry
Fabian et al. (2020)
Molecular representation
learning with language models
and domain-relevant auxiliary
tasks, in
NeurIPS 2020, Machine Learning
for Molecules Workshop.
Simonovsky and Meyers (2020)
DeeplyTough: Learning
Structural Comparison of Protein
Binding Sites, in
Journal of Chemical Information
and Modeling.
Brown (2020)
Artificial Intelligence in Drug
Discovery, in
Royal Society of Chemistry
Richardson et al. (2020) Baricitinib as potential treatment for 2019-nCoV acute respiratory disease, in
The Lancet
Stebbing et al. (2020) COVID-19: combining antiviral and anti-inflammatory treatments, in The Lancet
Infectious Diseases
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