Metformin - a new approach.

Metformin is a widely used biguanide drug recommended as a first-line antidiabetic for type 2 diabetes. Currently, metformin is used not only in the treatment of diabetes but also in other diseases. Some studies have shown that metformin causes weight loss in insulin-sensitive and insulin-resistant overweight and obese patients. Metformin is an effective and safe option for women with gestational diabetes and type 2 diabetes in pregnancy, and it may also increase the ovulation rate in patients with polycystic ovary syndrome (PCOS). Longer survival times have been observed in cancer patients using metformin. Metformin has been shown to significantly correlate with lower mortality in obese or type 2 diabetic women hospitalized for COVID-19. It also has a protective effect on the development and progression of many types of cancer. The mechanisms of action of metformin are complex and still not fully understood. Metformin has been shown to act through both AMP-activated protein kinase (AMPK)-dependent mechanisms and AMPK-independent mechanisms. This paper presents the benefits of using metformin in the treatment of various diseases.

Behavior-Based Early Cervical Cancer Risk Detection Using Artificial Neural Networks

In a worldwide perspective of the most common cancer diseases, cervical cancer is ranked fourth most frequent whereas the worldwide mortality rate is at 54.56%. In the Philippines, the second leading site among women is cervical cancer next to breast cancer. Research shows that cervical cancer is one of the most treatable cancer forms if detected and managed early. Currently, the most reliable diagnosis and prevention method of cervical cancer is thru a regular testing via Pap Smear test and HPV vaccination being performed in hospitals worldwide. However, according to the Centers for Disease Control and Prevention in California, the cervical cancer screening rate of regular testing in hospitals went down significantly during the stay-at-home order by the government due to the COVID-19 pandemic. Also, there are limited research based on the behavior information in relation to cervical cancer risk prediction, but existing studies proves the possibility of the risk prediction based on behavior information. This paper presents an Artificial Neural Network-based model for early cervical cancer risk detection based on behavior information. The neural network was trained using scaled conjugate gradient back propagation. The system showed 98% overall correctness in early cervical cancer risk prediction. © 2021 IEEE.