Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine

Author:

Qader Osman Nasreddin Abdel1,Al-Ziyadi Shatha Hallal2ORCID,Alazzam Malik Bader3ORCID,Alshawwa Samar Zuhair4ORCID,Rahman Md Adnan5ORCID

Affiliation:

1. College of Mass Communication, Ajman University, Ajman, UAE

2. Saudi Board Certified in Obstetrics & Gynecology, Taif University, Taif, Saudi Arabia

3. Information Technology College, Ajloun National University, Ajloun, Jordan

4. Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia

5. Green Business School, Green University of Bangladesh, Dhaka, Bangladesh

Abstract

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.

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Hindawi Limited

Subject

Health Informatics,Biomedical Engineering,Surgery,Biotechnology

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