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Conrad Bessant

6PUBLICATIONS
14CO-AUTHORS
Deep learningPredictive and prognostic markersQuery processing and optimisationBiologically active moleculesMolecular targets
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Journal

Publications (6)

Sort by Publication Date:
|Jul 15, 2025
Understanding the sources of performance in deep drug response models reveals insights and improvements.

Nikhil Branson, Pedro R Cutillas, Conrad Bessant

|Jan 29, 2024
Comparison of multiple modalities for drug response prediction with learning curves using neural networks and XGBoost.

Nikhil Branson, Pedro R Cutillas, Conrad Bessant

|Nov 06, 2021
Analysis of mental and physical disorders associated with COVID-19 in online health forums: a natural language processing study.

Rashmi Patel, Fabrizio Smeraldi, Maryam Abdollahyan

|Oct 28, 2020
Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis.

Esteban A Gomez, Romain A Colas, Patricia R Souza

|Sep 05, 2020
Characterization of four subtypes in morphologically normal tissue excised proximal and distal to breast cancer.

Emanuela Gadaleta, Pauline Fourgoux, Stefano Pirró

|Jan 22, 2020
Reconstructing kinase network topologies from phosphoproteomics data reveals cancer-associated rewiring.

Maruan Hijazi, Ryan Smith, Vinothini Rajeeve

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Frequent Collaborators

3 joint publications

Pedro R Cutillas

2 joint publications

Nikhil Branson

1 joint publications

Emanuela Gadaleta

1 joint publications

Graeme J Thorn

1 joint publications

Jun Wang

1 joint publications

Claude Chelala

1 joint publications

Esteban A Gomez

1 joint publications

Patricia R Souza

1 joint publications

Myles J Lewis

1 joint publications

Costantino Pitzalis

Frequent Collaborators

3 joint publications

Pedro R Cutillas

2 joint publications

Nikhil Branson

1 joint publications

Emanuela Gadaleta

1 joint publications

Graeme J Thorn

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