AI-Driven Metadata Extraction from Scientific Texts for Enhanced Biomedical Data Reusability

The question behind it

What can a model see that a person cannot?

Projects I have run with undergraduate teams: infection detection in mushroom farms, solar output under cloud cover, fake review and fake news detection, gesture recognition, text summarisation, and carbon-efficient inference in large language models.

A plain-language summary of this paper is on its way here. The full text will follow wherever the publisher permits me to host it.

Cite this paper

@inproceedings{thangaraju2025ai,
  title   = {AI-Driven Metadata Extraction from Scientific Texts for Enhanced Biomedical Data Reusability},
  author  = {V Thangaraju and S Sangeetha},
  booktitle = {2025 ICNGCS, pp. 1-6},
  year    = {2025},
  doi     = {10.1109/icngcs64900.2025.11183478},
  url     = {https://doi.org/10.1109/icngcs64900.2025.11183478},
}

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