Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus among Women Population.

Background: Diabetes Mellitus is a chronic health condition (long-lasting) due to inadequate control of blood levels of glucose. This study presents a prediction of Type 2 Diabetes Mellitus among women using various Machine Learning Algorithms deployed to predict the diabetic condition. A University of California Irvine Diabetes Mellitus Dataset posted in Kaggle was used for analysis.

Systemic computational investigation to identify potential inhibitors against cancer by targeting P21-activated kinase 4 and D(CGATCG).

Cancer accounts for more than 10 million deaths in the year 2020. Development of drugs that specifically target cancer signaling pathways and proteins attain significant importance in the recent past. The p21-activated kinase 4 enzyme, which plays diverse functions in cancer and is reported in elevated expression makes this enzyme an attractive anti-cancer drug target.

Sociodemographic and Diabetes-related Risk Factors in San Diego County, California.

Background: The research information would enable clinicians and public health professionals to formulate proper interventions for diabetic people according to age, gender, and race.

Objective: The aim of the study was to investigate the relationship between diabetes-related mortality, hospitalization and emergency department discharge, and sociodemographic characteristics, in addition to age-standardized mortality rate analysis.

Method: A population-based cross-sectional descriptive study was carried out to determine the relationship between sociodemographic characteristics and diabetes-related risk factors of the San Diego County residents in 2018, including 49,283 individuals (27,366 males and 21,917 females).

Determination of Novel Anti-Cancer Agents by Targeting OGG1 Enzyme Using Integrated Bioinformatics Methods.

The -oxoguanine DNA glycosylase (OGG1) enzyme is a key DNA glycosylase mediating the excision of 7,8-dihydro-8-oxoguanine (8-oxoG) from DNA molecule to the start base excision repair pathway. The OGG1 glycosylase function depletion has been seen to obstruct pathological conditions such as inflammation, A3 T-cell lymphoblastic acute leukemia growth, and neurodegenerative diseases, thus warranting OGG1 as an attractive anti-cancer enzyme. Herein, we employed several drug libraries intending to screen non-toxic inhibitory molecules against the active pocket of the enzyme that achieved stable binding mode in dynamics.