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20232026
most citedComprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

CytoCLIP: Learning Cytoarchitectural Characteristics in Developing Human Brain Using Contrastive Language Image Pre-Training

Pralaypati Ta, Sriram Venkatesaperumal, Keerthi Ram +1

The functions of different regions of the human brain are closely linked to their distinct cytoarchitecture, which is defined by the spatial arrangement and morphology of the cells…

cs.CL2025

Entity-Augmented Neuroscience Knowledge Retrieval Using Ontology and Semantic Understanding Capability of LLM

Pralaypati Ta, Sriram Venkatesaperumal, Keerthi Ram +1

Neuroscience research publications encompass a vast wealth of knowledge. Accurately retrieving existing information and discovering new insights from this extensive literature is e…

cs.CL2025★ 4 cited

Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs

Bhumika Gupta, Pralaypati Ta, Keerthi Ram +1

The updated recommendations on diagnostic procedures and treatment pathways for a medical condition are documented as graphical flows in Clinical Practice Guidelines (CPGs). For ef…

cs.CL2024

Knowledge Models for Cancer Clinical Practice Guidelines : Construction, Management and Usage in Question Answering

Pralaypati Ta, Bhumika Gupta, Arihant Jain +3

An automated knowledge modeling algorithm for Cancer Clinical Practice Guidelines (CPGs) extracts the knowledge contained in the CPG documents and transforms it into a programmatic…

cs.AI2023

Automated Knowledge Modeling for Cancer Clinical Practice Guidelines

Pralaypati Ta, Bhumika Gupta, Arihant Jain +4

Clinical Practice Guidelines (CPGs) for cancer diseases evolve rapidly due to new evidence generated by active research. Currently, CPGs are primarily published in a document forma…