Mahesan Niranjan

7PUBLICATIONS
30CO-AUTHORS
Molecular targetsDeep learningSystems physiologyContext learningMedical molecular engineering of nucleic acids and proteins
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Publications (7)

|Aug 07, 2026
Identifying molecular signatures underpinning treatment responses to novel therapeutics influencing COVID-19 outcomes.

|Jun 19, 2024
Machine Learning to Predict Prostate Artery Embolization Outcomes.

G Vigneswaran, N Doshi, D Maclean

|Dec 09, 2023
Causal Analysis of Physiological Sleep Data Using Granger Causality and Score-Based Structure Learning.

Alex Thomas, Mahesan Niranjan, Julian Legg

|May 18, 2023
Machine learning as an adjunct to expert observation in classification of radiographic knee osteoarthritis: findings from the Hertfordshire Cohort Study.

Leo D Westbury, Nicholas R Fuggle, Diogo Pereira

|Jun 03, 2022
CI-SpliceAI-Improving machine learning predictions of disease causing splicing variants using curated alternative splice sites.

Yaron Strauch, Jenny Lord, Mahesan Niranjan

|Oct 23, 2021
Information Bottleneck Theory Based Exploration of Cascade Learning.

Xin Du, Katayoun Farrahi, Mahesan Niranjan

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Frequent Collaborators

2 joint publications

Katayoun Farrahi

1 joint publications

G Vigneswaran

1 joint publications

D Maclean

1 joint publications

T Bryant