Raja, Kalpana

Atopic Dermatitis Is an IL-13–Dominant Disease with Greater Molecular Heterogeneity Compared to Psoriasis

Tsoi, L. C., Rodriguez, E., Degenhardt, F., Baurecht, H., Wehkamp, U., Volks, N., Szymczak, S., Swindell, W. R., Sarkar, M. K., Raja, K., et al. (2019) · Journal of Investigative Dermatology

Dermatology and Skin DiseasesPsoriasis: Treatment and Pathogenesis

Cited by 469

Benchmarking large language models for biomedical natural language processing applications and recommendations

Chen, Q., Hu, Y., Peng, X., Xie, Q., Jin, Q., Gilson, A., Singer, M. B., Ai, X., Lai, P.-T., Wang, Z., et al. (2025) · Nature Communications

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 219

Advancing entity recognition in biomedicine via instruction tuning of large language models

Keloth, V. K., Hu, Y., Xie, Q., Peng, X., Wang, Y., Zheng, A., Selek, M., Raja, K., Wei, C. H., Jin, Q., et al. (2024) · Bioinformatics

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 104

Towards precise PICO extraction from abstracts of randomized controlled trials using a section-specific learning approach.

Hu, Y., Keloth, V. K., Raja, K., Chen, Y., & Xu, H. (2023) · Bioinformatics

Biomedical Text Mining and OntologiesMeta-analysis and systematic reviews

Cited by 21

Representing and utilizing clinical textual data for real world studies: An OHDSI approach

Keloth, V. K., Banda, J. M., Gurley, M., Heider, P. M., Kennedy, G., Liu, H., Liu, F., Miller, T., Natarajan, K., V Patterson, O., et al. (2023) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 16

Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models

Millikin, R. J., Raja, K., Steill, J., Lock, C., Tu, X., Ross, I., Tsoi, L. C., Kuusisto, F., Ni, Z., Livny, M., et al. (2023) · BMC Bioinformatics

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 9