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Cheredath, A and Uppangala, S and Asha, CS and Jijo, A and Vani Lakshmi, R and Kumar, P and Joseph, D and GA, NG and Kalthur, G and Adiga, SK (2022) Combining Machine Learning with Metabolomic and Embryologic Data Improves Embryo Implantation Prediction. In: Reproductive Sciences .
Adiga, SK and Cheredath, A and Uppangala, S and Asampille, G and Lakshmi R, V and Joseph, D and Raval, K and Gowda G A, N and Kalthur, G (2022) Duration of dry and humidified incubation of single-step embryo culture medium and oxygen tension during sham culture do not alter metabolomics signature. In: F1000Research, 11 .
Souza, FD' and Asampille, G and Uppangala, S and Kalthur, G and Atreya, HS and Adiga, SK (2019) Sperm-mediated DNA lesions alter metabolite levels in spent embryo culture medium. In: Reproduction, Fertility and Development, 31 (3). pp. 443-450.
