Women's ignorance and misperception of cervical cancer: Evidence-based analysis from low- and middle-income countries.

Cervical cancer is a major cause of morbidity and mortality particularly in low- and mid-income countries. This review synthesizes existing knowledge on cervical cancer, HPV infection, and HPV vaccination accumulated over the past decade (2015-2024), highlighting disparities in awareness and prevention strategies globally. Education level correlates with HPV vaccine awareness, yet mere familiarity with cervical cancer doesn't ensure understanding of its severity.

A Review on Deep Learning-driven Drug Discovery: Strategies, Tools and Applications.

It takes an average of 10-15 years to uncover and develop a new drug, and the process is incredibly time-consuming, expensive, difficult, and ineffective. In recent years the dramatic changes in the field of artificial intelligence (AI) have helped to overcome the challenges in the drug discovery pipeline. Artificial intelligence (AI) has taken root in various pharmaceutical sectors, from lead compound identification to clinical trials.

Integrative transcriptome analysis of triple negative breast cancer profiles for identification of druggable targets.

As triple negative breast cancer (TNBC) lacks a specific target, exploration of abnormally expressed genes during the progression of TNBC is important for a better understanding of tumorigenesis and to find a specific target. We intended to figure out genes associated with TNBC, which can provide unique insights into gene dysregulation in TNBC while also pointing to new possible therapeutic targets for TNBC. A meta-analysis of multiple TNBC mRNA profiles was performed to identify consistently differentially expressed genes (CDGs).