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Bioinformation|August 18, 2025
A machine-learning clustering approach for reference interval estimation of liver enzymes from hospital laboratory big-dataPrakruti Dash, Saurav Nayak
EJIFCC|December 29, 2025
Analyzing the Utility of Pooled Sera as Internal Quality Control for Immunoassay Parameters by an EWMA-backed Statistical Mechanism (e-PSQC): A Comparison with Commercially Available Material and Westgard RulesPrakruti Dash, Saurav Nayak, Tanushree Roy
Indian Journal of Clinical Biochemistry : IJCB|March 24, 2025
A New Machine Learning Approach for Actual Calcium MeasurementSuchitra Kumari, Saurav Nayak, Manaswini Mangaraj
Cureus|February 24, 2025
The Efficacy of Curcumin in Reducing Immunosuppressive States of Peripheral Blood Mononuclear Cells Extracted From Oral Squamous Cell Carcinoma Patients: An In Vitro StudyPrakruti Dash, Saurav Nayak, Pradipta K Parida
Cureus|September 27, 2024
Maternal Soluble Programmed Death Ligand-1 (sPD-L1) and T-regulatory Cells (Tregs) Alteration in Preeclampsia: A Cross-Sectional Study From Eastern IndiaPrakruti Dash, Saurav Nayak, Bharath Kumar Koppisetty
Journal of Laboratory Physicians|December 19, 2022
Impact of Time Delay in the Analysis of Serum Ionized Calcium, Sodium, and PotassiumPrakruti Dash, Rajlaxmi Tiwari, Saurav Nayak, et al.
Bioinformation|February 2, 2026
Ensemble neural network modelling for stratified HbA1c prediction: Integrating past glucose measurement as a predictor of glycaemic controlPrakruti Dash, Kasala Farzia, Dharashree Priyadarshini, et al.
Cureus|February 2, 2022
Assessment of Copper and Zinc Levels in Hair and Urine of Children With Attention Deficit Hyperactivity Disorder: A Case-Control Study in Eastern IndiaSaurav Nayak, Suchanda Sahu, Suravi Patra, et al.
Journal of Mother and Child|February 9, 2022
Maternal and neonatal outcomes among women with and without severe acute respiratory syndrome corona virus-2 infection: A retrospective analytical studyPratyasha Peepal, Tanushree Sandipta Rath, Saurav Nayak, et al.
Frontiers in Nutrition|October 31, 2024
Predicting immune risk in treatment-naïve HIV patients using a machine learning algorithm: a decision tree algorithm based on micronutrients and inversion of the CD4/CD8 ratioSaurav Nayak, Arvind Singh, Manaswini Mangaraj, et al.
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