Machine Learning of ZnO Interaction with Immunoglobulins and Blood Proteins in Medicine.
Nasreddin Abdel Qader OsmanShatha Hallal Al-ZiyadiMalik Bader AlazzamSamar Zuhair AlshawwaMd Adnan RahmanPublished in: Journal of healthcare engineering (2022)
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.
Keyphrases
- toxoplasma gondii
- pregnant women
- machine learning
- pregnancy outcomes
- newly diagnosed
- quantum dots
- ejection fraction
- healthcare
- prognostic factors
- type diabetes
- room temperature
- metabolic syndrome
- intensive care unit
- adipose tissue
- preterm birth
- combination therapy
- sleep quality
- gold nanoparticles
- reduced graphene oxide
- skeletal muscle
- walled carbon nanotubes
- adverse drug
- deep learning
- acute respiratory distress syndrome
- oxide nanoparticles
- light emitting