Author

Akash Singh

University of South Florida

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Anowarul KabiriD· 2 shared Samuel Infante· 1 shared Samuel Infante TrillosiD· 1 shared Seungbae KimiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersBioinformatics

Anowarul KabirORCID

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2 papers

Recent·Most cited

Predicting Obstetric and Non-obstetric Diagnoses Co-occurrences during Pregnancy

Akash Singh, Samuel Infante, Seungbae Kim, Anowarul Kabir

The paper models co-occurrence patterns of obstetric and non-obstetric diagnoses during pregnancy using graph neural networks and identifies clinically relevant comorbidity associations.

Communications in computer and information science · Jan 1, 2026Peer-reviewedBioinformatics

LoMuS: Low-Rank Adaptation with Multimodal Representations Improves Protein Stability Prediction

Samuel Infante Trillos, Akash Singh, Anowarul Kabir

LoMuS improves protein stability prediction using a multimodal deep learning model that combines physicochemical descriptors with low-rank adapted embeddings from a protein language model.

bioRxiv · Dec 18, 2025 · PreprintBioinformatics