BiomedGrid

  Breast Cancer in the Puerperium. More Questions Than Answers Abstract Breast cancer diagnosed during puerperium and lactation is not fully understandable until today. In general, it is suggested a worse prognosis for postpartum breast cancer compared to breast cancer unrelated to pregnancy or to postmenopausal breast cancer. However, the retrospective nature of some data makes final conclusions less convincing compared to other risk factors related to breast cancer behavior. New research data showed that the screening mammography should be discussed in women aged 40 years and older. Keywords:  Breast Cancer; Puerperium; Lactation; Prognosis; Mammography Introduction Breast cancer related to pregnancy is considered breast cancer, which was diagnosed during pregnancy, one year after delivery or during lactation [1]. Many years ago, it was concluded that breast cancer diagnosed during puerperium and lactation tends to have worse prognosis than breast cancer in other periods of woman’s l

  Optimal Machine Learning Methods to Forecast COVID-19 Cases Abstract The entire world is undergoing a hard-hitting scenario and trying to combat the COVID-19 by recent technological advancements, which involves machine learning chiefly. The forecasting demand has become a prerequisite as it helps the government officials and other organizations to make well-versed verdicts and impose pertinent measures to benefit the living conditions of the individuals around the globe. Consequently, the current paper focuses on four significant machine learning methods (Facebook Prophet, Auto Regression, Vector Auto Regression, and Holt-Winters), which help forecast the total confirmed and daily confirmed cases. Moreover, the paper reveals the ideal method for the future forecast based on the attained results and efficacy rate. The results of the study reveal the best methods for the considered countries based on the calculation of Error percentage. Out of the four Machine Learning models, AR and F

  Mitochondrial Dysfunction in Neurodegenerative Disorders and Atherosclerosis: Pathophysiological Mechanisms and innovative Protocol Towards an Elegant New Era Of Health Introduction The energy plants of the  human being are composed of trillions of  mitochondria which is  semi-autonomous ,double membrane-bound cellular  organelles that is in charge of generating most of the chemical energy needed to operate the cellular  biochemical reactions in the human body. The sizes of mitochondria vary from 0.75 to 8 mm depending on the cell type, cell cycle stage, and intracellular metabolic state . These organelles make up as much as 10% of the cell volume but responsible of producing  90% of the human needs of  energy. Mitochondria can be divided into four functional areas, the mitochondrial outer membrane (OMM), mitochondrial membrane space, mitochondrial inner membrane (IMM), and mitochondrial matrix. The IMM is rich with various membrane proteins and the location where adenosine triphosph