Research · Publications | BenevolentAI

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arXiv Computer Science

Retrieve to Explain: Evidence-driven Predictions with Language Models

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Journal of Biomedical Semantics, volume 15, Article number: 5 (2024)

Elucidating the Semantics-Topology Trade-off for Knowledge Inference-Based Pharmacological Discovery

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Translational Neurodegeneration. 2023; 12: 47

Janus kinase inhibitors are potential therapeutics for amyotrophic lateral sclerosis

FRONTIERS IN GENETICS

Learning the kernel for rare variant genetic association test

Associating biological context with protein-protein interactions through text mining at PubMed scale

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Mechanisms of Ageing and Development, volume 213, July 2023, 111836

DYRK1B inhibition exerts senolytic effects on endothelial cells and rescues endothelial dysfunctions

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Interpreting deep embeddings for disease progression clustering

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ICML, NeurIPS 2023

Differentiable sorting for censored time-to-event data

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sEHR-CE: Language modelling of structured EHR data for efficient and generalizable patient cohort expansion

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Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval

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Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations

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Contrastive Mixture of Posteriors for Counterfactual Inference, Data Integration and Fairness

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On Masked Language Models for Contextual Link Prediction

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Glolloc: Mixture of Global and Local Experts for Molecular Activity Prediction

De novo molecular design and generative models

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FRONTIERS IN PHARMACOLOGY

Expert-Augmented Computational Drug Repurposing Identified Baricitinib as a Treatment for COVID-19

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Directed Graph Embeddings in Pseudo-Riemannian Manifolds

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Proteochemometric Models Using Multiple Sequence Alignments and a Subword Segmented Masked Language Model

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EMNLP | LOUHI WORKSHOP 2020

Simple Hierarchical Multi-Task Neural End-To-End Entity Linking for Biomedical Text

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EMNLP | SustaiNLP 2020

Learning Informative Representations of Biomedical Relations with Latent Variable Models

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ROYAL SOCIETY OF CHEMISTRY

Artificial Intelligence in Drug Discovery - A New Book by Nathan Brown

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Rosalind: Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs

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Applications of machine learning to diagnosis and treatment of neurodegenerative diseases

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EMBO MOLECULAR MEDICINE

Mechanism of baricitinib supports artificial intelligence-predicted testing in COVID-19 patients

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COVID-19: combining antiviral and anti-inflammatory treatments

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JOURNAL OF CHEMICAL INFORMATION AND MODELING

DeeplyTough: Learning Structural Comparison of Protein Binding Sites

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Baricitinib as potential treatment for 2019-nCoV acute respiratory disease

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Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs

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Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture

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Interpret: Constructing large scale biomedical knowledge bases from scratch with rapid annotation of interpretable patterns

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JOURNAL OF CHEMICAL INFORMATION AND MODELING

GuacaMol: Benchmarking Models for De Novo Molecular Design

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DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation

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Adjusting for Confounding in Unsupervised Latent Representations of Images

Future Medicinal Chemistry

Artificial intelligence in drug discovery

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BRITISH MEDICAL JOURNAL

Clinical trial design and dissemination: comprehensive analysis of clinicaltrials.gov and PubMed data since 2005

Chapter Five - Big Data in Drug Discovery

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NATURE CHEMISTRY

Organic synthesis provides opportunities to transform drug discovery

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Planning chemical syntheses with deep neural networks and symbolic AI

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Exploring deep recurrent models with reinforcement learning for molecule design

Special Issue: Cheminformatics in Drug Discovery