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Rapid molecular evaluation of human kidney tissue sections by in situ mass spectrometry and machine learning to classify the nephrotic syndrome

Mondal, S., Singh, M. S., Kumar, A., Chattopadhyay, S., Nandy, A., Sthanikam, Y., Pandey, U., Koner, D., Marisiddappa, L., & Banerjee, S. (2023). Rapid molecular evaluation of human kidney tissue sections by in situ mass spectrometry and machine learning to classify the nephrotic syndrome. Journal of Proteome Research, 22(3), 967-976. DOI: 10.1021/acs.jproteome.2c00768

Evidence for dynamical changes in Betelgeuse using multi-wavelength data.

Kachhara, S., George, S. V., Misra, R., & Ambika, G. (2023). Evidence for dynamical changes in Betelgeuse using multi wavelength data. In R. Ruffini & G. Vereshchagin (Eds.), The Sixteenth Marcel Grossmann Meeting: On recent developments in theoretical and experimental general relativity, astrophysics and relativistic field theories (pp. 3485-3493). World Scientific. DOI: 10.1142/9789811269776_0288