by developer, 0 Comments
2 Liver Project
Liver, the largest solid organ of the body, performs numerous essential functions including metabolism of carbohydrates, proteins and fats; formation and secretion of bile; activation and storage of vitamins; detoxification of drugs/ alcohols/ other toxins [5]. More than 100 different types of hepatic disorder causes potential impairment of liver’s metabolic, storage or detoxification functions; accounting for ~2 million annual global deaths [6]. In addition to genetic factors or infections, liver can be damaged due to various factors like excessive consumption of harmful food-additives/ toxins, stressful lifestyle, imbalanced diet, drug- or alcohol- abuse and so on. Interestingly, in some cases the symptoms of hepatic disorders vary widely with minimal or no symptom. Hence, early and accurate prediction of liver malfunction through liver function tests (LFT), using various non-interventional markers, is extremely important in preventing liver damage or promoting liver regeneration.
Interpreting LFT with too many parameters, to diagnose a specific liver disease among the spectrum of hepatic disorders often becomes very complicated and inaccurate in some cases. To improve the efficacy, in this digital era, we will use machine learning and algorithmic approach in routine biochemical testing. Doyen Diagnostic & Research Foundation (DDRF) has a unique proprietary LFT, called LFT-gamma, a registered trademarked service-product from Govt. of India, to improve the diagnostic accuracy of hepatic diseases.
In our current Hepatic research project machine learning and algorithmic approach will be used to improve the predictive classification of liver diseases into major subtypes, namely Non-alcoholic/ Alcoholic liver disease, Obstructive jaundice, Viral/ Drug-induced hepatitis and so on. Using archived old repository we are analyzing retrospective LFT data to establish biological reference ranges of LFT parameters in males and females from multiple age groups of eastern Indian population. Subsequently, based on those reference ranges and ratios, in the prospective part of our study, we will apply our algorithm for improved efficacy of predictive classification of hepatic diseases.
5. Ramadori G, Moriconi F, Malik I, Dudas J. Physiology and pathophysiology of liver inflammation, damage and repair. J Physiol Pharmacol. 2008; 59 (Suppl 1):107-17. PMID: 18802219
6. Asrani SK, Devarbhavi H, Eaton J, Kamath PS. Burden of liver diseases in the world. Journal of Hepatology. 2019; 70(1):151-71. DOI: 10.1016/j.jhep.2018.09.014
Doyen Diagnostic & Research Foundation
87 G/2 R.N Tagore Road Berhampore, Murshidabad -742101
Contact : +7277370071/ 8617427665
© Copyright 2023 Doyen Diagnostic and Research Foundation.