Evolutive Models, Algorithms and Predictive Parameters for the Progression of Hepatic Steatosis

doi:10.3390/metabo14040198

. 2024 Apr 3;14(4):198.

doi: 10.3390/metabo14040198.

Evolutive Models, Algorithms and Predictive Parameters for the Progression of Hepatic Steatosis

Marinela Sînziana Tudor¹, Veronica Gheorman², Georgiana-Mihaela Simeanu¹, Adrian Dobrinescu³, Vlad Pădureanu², Venera Cristina Dinescu⁴, Mircea-Cătălin Forțofoiu⁵

Affiliations

¹ Doctoral School, University of Medicine and Pharmacy of Craiova, Petru Rareș 2 Str, 200349 Craiova, Romania.
² Department 3 Medical Semiology, University of Medicine and Pharmacy of Craiova, Petru Rareș 2 Str, 200349 Craiova, Romania.
³ Department of Thoracic Surgery, University of Medicine and Pharmacy of Craiova, Petru Rareș 2 Str, 200349 Craiova, Romania.
⁴ Department of Health Promotion and Occupational Medicine, University of Medicine and Pharmacy of Craiova, Petru Rareș 2 Str, 200349 Craiova, Romania.
⁵ Department 3 Medical Semiology, University of Medicine and Pharmacy of Craiova, Clinical Municipal Hospital "Philanthropy" of Craiova, 200143 Craiova, Romania.

PMID: 38668326
PMCID: PMC11052048
DOI: 10.3390/metabo14040198

Evolutive Models, Algorithms and Predictive Parameters for the Progression of Hepatic Steatosis

Marinela Sînziana Tudor et al. Metabolites. 2024.

. 2024 Apr 3;14(4):198.

doi: 10.3390/metabo14040198.

Authors

Marinela Sînziana Tudor¹, Veronica Gheorman², Georgiana-Mihaela Simeanu¹, Adrian Dobrinescu³, Vlad Pădureanu², Venera Cristina Dinescu⁴, Mircea-Cătălin Forțofoiu⁵

Affiliations

¹ Doctoral School, University of Medicine and Pharmacy of Craiova, Petru Rareș 2 Str, 200349 Craiova, Romania.
² Department 3 Medical Semiology, University of Medicine and Pharmacy of Craiova, Petru Rareș 2 Str, 200349 Craiova, Romania.
³ Department of Thoracic Surgery, University of Medicine and Pharmacy of Craiova, Petru Rareș 2 Str, 200349 Craiova, Romania.
⁴ Department of Health Promotion and Occupational Medicine, University of Medicine and Pharmacy of Craiova, Petru Rareș 2 Str, 200349 Craiova, Romania.
⁵ Department 3 Medical Semiology, University of Medicine and Pharmacy of Craiova, Clinical Municipal Hospital "Philanthropy" of Craiova, 200143 Craiova, Romania.

PMID: 38668326
PMCID: PMC11052048
DOI: 10.3390/metabo14040198

Abstract

The utilization of evolutive models and algorithms for predicting the evolution of hepatic steatosis holds immense potential benefits. These computational approaches enable the analysis of complex datasets, capturing temporal dynamics and providing personalized prognostic insights. By optimizing intervention planning and identifying critical transition points, they promise to revolutionize our approach to understanding and managing hepatic steatosis progression, ultimately leading to enhanced patient care and outcomes in clinical settings. This paradigm shift towards a more dynamic, personalized, and comprehensive approach to hepatic steatosis progression signifies a significant advancement in healthcare. The application of evolutive models and algorithms allows for a nuanced characterization of disease trajectories, facilitating tailored interventions and optimizing clinical decision-making. Furthermore, these computational tools offer a framework for integrating diverse data sources, creating a more holistic understanding of hepatic steatosis progression. In summary, the potential benefits encompass the ability to analyze complex datasets, capture temporal dynamics, provide personalized prognostic insights, optimize intervention planning, identify critical transition points, and integrate diverse data sources. The application of evolutive models and algorithms has the potential to revolutionize our understanding and management of hepatic steatosis, ultimately leading to improved patient outcomes in clinical settings.

Keywords: algorithms; computational approaches; evolutive models; hepatic steatosis; predictive parameters; progression prediction.

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Conflict of interest statement

The authors declare no conflicts of interest.

References

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[1] Pouwels S., Sakran N., Graham Y., Leal A., Pintar T., Yang W., Kassir R., Singhal R., Mahawar K., Ramnarain D. Non-alcoholic fatty liver disease (NAFLD): A review of pathophysiology, clinical management and effects of weight loss. BMC Endocr. Disord. 2022;22:63. doi: 10.1186/s12902-022-00980-1. - DOI - PMC - PubMed

[2] Pouwels S., Sakran N., Graham Y., Leal A., Pintar T., Yang W., Kassir R., Singhal R., Mahawar K., Ramnarain D. Non-alcoholic fatty liver disease (NAFLD): A review of pathophysiology, clinical management and effects of weight loss. BMC Endocr. Disord. 2022;22:63. doi: 10.1186/s12902-022-00980-1. - DOI - PMC - PubMed

[3] Antunes C., Azadfard M., Hoilat G.J., Gupta M. StatPearls [Internet] StatPearls Publishing; Treasure Island, FL, USA: 2024. Fatty Liver. - PubMed

[4] Antunes C., Azadfard M., Hoilat G.J., Gupta M. StatPearls [Internet] StatPearls Publishing; Treasure Island, FL, USA: 2024. Fatty Liver. - PubMed

[5] Berardo C., Di Pasqua L.G., Cagna M., Richelmi P., Vairetti M., Ferrigno A. Nonalcoholic Fatty Liver Disease and Non-Alcoholic Steatohepatitis: Current Issues and Future Perspectives in Preclinical and Clinical Research. Int. J. Mol. Sci. 2020;21:9646. doi: 10.3390/ijms21249646. - DOI - PMC - PubMed

[6] Berardo C., Di Pasqua L.G., Cagna M., Richelmi P., Vairetti M., Ferrigno A. Nonalcoholic Fatty Liver Disease and Non-Alcoholic Steatohepatitis: Current Issues and Future Perspectives in Preclinical and Clinical Research. Int. J. Mol. Sci. 2020;21:9646. doi: 10.3390/ijms21249646. - DOI - PMC - PubMed

[7] Malnick S.D.H., Alin P., Somin M., Neuman M.G. Fatty Liver Disease-Alcoholic and Non-Alcoholic: Similar but Different. Int. J. Mol. Sci. 2022;23:16226. doi: 10.3390/ijms232416226. - DOI - PMC - PubMed

[8] Malnick S.D.H., Alin P., Somin M., Neuman M.G. Fatty Liver Disease-Alcoholic and Non-Alcoholic: Similar but Different. Int. J. Mol. Sci. 2022;23:16226. doi: 10.3390/ijms232416226. - DOI - PMC - PubMed

[9] Godoy-Matos A.F., Silva Júnior W.S., Valerio C.M. NAFLD as a continuum: From obesity to metabolic syndrome and diabetes. Diabetol. Metab. Syndr. 2020;12:60. doi: 10.1186/s13098-020-00570-y. - DOI - PMC - PubMed

[10] Godoy-Matos A.F., Silva Júnior W.S., Valerio C.M. NAFLD as a continuum: From obesity to metabolic syndrome and diabetes. Diabetol. Metab. Syndr. 2020;12:60. doi: 10.1186/s13098-020-00570-y. - DOI - PMC - PubMed

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Evolutive Models, Algorithms and Predictive Parameters for the Progression of Hepatic Steatosis

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Evolutive Models, Algorithms and Predictive Parameters for the Progression of Hepatic Steatosis

Authors

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Abstract

Conflict of interest statement

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