Cervical cancer is one of the deadly diseases that affects women, which requires periodic examinations to identify and treat any cancerous tumors at a preliminary stage. The most prevalent examination tool for cervical cancer prompt identification is the cervical smear (Pap smear) testing; however, due to human negligence, this examination method has an elevated probability of negative findings. Cervical cancer classification using machine learning (ML) and deep learning (DL) has been extensively studied to enhance the conventional diagnostic process.
View Article and Find Full Text PDFMiller is a highly valued aromatic and nutritious plant. The unique compositions of its essential oil make it more valuable in the flavor, fragrance, and medicinal industries. However, the potential of superheated steam distillation for obtaining essential oils from its seeds has not been explored in detail.
View Article and Find Full Text PDFComputational approaches are commonly employed to expedite and provide decision-making for the drug development process. Drug development programs that involve targets without known crystal structures can be quite challenging. In many cases, a viable approach is to generate reliable homology models using the amino acid sequence of the target.
View Article and Find Full Text PDFa widely recognized plant more commonly known as moringa, has obtained significant research interest in recent years due to its prospective physiological advantages, including its claimed ability to counteract carcinogenesis. The moringa plant has been found to possess bioactive components that exhibit promising anticancer activities against different human cancers, such as breast cancer, prostate cancer, pancreatic cancer, etc. The cytotoxic properties of moringa seed extracts on cancerous cells have also been provided in this paper along with other notable health benefits.
View Article and Find Full Text PDF