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Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine
Toxoplasmosis is a zoonotic illness caused by Toxoplasma gondii. Those with a normal immune system normally recover without treatment. Immunocompromised individuals and pregnant women must be treated regularly. Toxoplasmosis is a serious illness that may reactivate in immunocompromised patients. A r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964194/ https://www.ncbi.nlm.nih.gov/pubmed/35360479 http://dx.doi.org/10.1155/2022/4062974 |
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author | Qader Osman, Nasreddin Abdel Al-Ziyadi, Shatha Hallal Alazzam, Malik Bader Alshawwa, Samar Zuhair Rahman, Md Adnan |
author_facet | Qader Osman, Nasreddin Abdel Al-Ziyadi, Shatha Hallal Alazzam, Malik Bader Alshawwa, Samar Zuhair Rahman, Md Adnan |
author_sort | Qader Osman, Nasreddin Abdel |
collection | PubMed |
description | Toxoplasmosis is a zoonotic illness caused by Toxoplasma gondii. Those with a normal immune system normally recover without treatment. Immunocompromised individuals and pregnant women must be treated regularly. Toxoplasmosis is a serious illness that may reactivate in immunocompromised patients. A retrospective study using machine learning of toxoplasmosis patients at Government Fever Hospital in Gorantla, Guntur, India, included 25 women, eight of whom were pregnant. These included sex, age, symptoms and side effects, pregnancy, ophthalmic, and antitoxoplasmosis titers, and treatment regimens. Protease mobility and specific activity were increased in toxoplasmosis-infected women's sera, although not significantly (p=0.05). However, there was no discernible decline. The impacts of nanoparticle impact demonstrated a 52.24 percent drop in compound concentration in the presence of zinc nanoparticles, whereas the effect of ZnO nanoparticles was 51.37 percent. Zinc nanoparticles lowered IgA, IgG, and IgM levels in the eye. |
format | Online Article Text |
id | pubmed-8964194 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-89641942022-03-30 Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine Qader Osman, Nasreddin Abdel Al-Ziyadi, Shatha Hallal Alazzam, Malik Bader Alshawwa, Samar Zuhair Rahman, Md Adnan J Healthc Eng Research Article Toxoplasmosis is a zoonotic illness caused by Toxoplasma gondii. Those with a normal immune system normally recover without treatment. Immunocompromised individuals and pregnant women must be treated regularly. Toxoplasmosis is a serious illness that may reactivate in immunocompromised patients. A retrospective study using machine learning of toxoplasmosis patients at Government Fever Hospital in Gorantla, Guntur, India, included 25 women, eight of whom were pregnant. These included sex, age, symptoms and side effects, pregnancy, ophthalmic, and antitoxoplasmosis titers, and treatment regimens. Protease mobility and specific activity were increased in toxoplasmosis-infected women's sera, although not significantly (p=0.05). However, there was no discernible decline. The impacts of nanoparticle impact demonstrated a 52.24 percent drop in compound concentration in the presence of zinc nanoparticles, whereas the effect of ZnO nanoparticles was 51.37 percent. Zinc nanoparticles lowered IgA, IgG, and IgM levels in the eye. Hindawi 2022-03-16 /pmc/articles/PMC8964194/ /pubmed/35360479 http://dx.doi.org/10.1155/2022/4062974 Text en Copyright © 2022 Nasreddin Abdel Qader Osman et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Qader Osman, Nasreddin Abdel Al-Ziyadi, Shatha Hallal Alazzam, Malik Bader Alshawwa, Samar Zuhair Rahman, Md Adnan Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine |
title | Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine |
title_full | Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine |
title_fullStr | Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine |
title_full_unstemmed | Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine |
title_short | Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine |
title_sort | machine learning of zno interaction with immunoglobulins and blood proteins in medicine |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8964194/ https://www.ncbi.nlm.nih.gov/pubmed/35360479 http://dx.doi.org/10.1155/2022/4062974 |
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