Seoochre

The use of time-to-event analysis is common in clinical research. The interpretation of time-to-event analysis can often be misleading. Beginners and early career researchers struggle to grasp the concepts and nuances in a time-to-event analysis. The concepts of censoring, truncation, and bias related to time-to-event analysis are essential for interpreting and applying findings. Regarding bias, lead-time bias and length-time bias are the most important. Lead-time and length-time bias are critical in analysing clinical trials involving time-to-event analysis. This article aims to simplify the

Human and veterinary antimicrobial misuse is one of the cornerstone drivers of antimicrobial resistance (AMR) leading to a rapidly drying up of the antibiotic pipeline. In 2010, the Indian subcontinent was adjudicated to be the world’s largest consumer of antibiotics and hence curbing injudicious use of antibiotics was a must. The current drivers of AMR include veterinary, human, biomedical waste and from innate evolutionary genetical factors leading to the genesis of the menacing MDR, XDR and PDR strains seen worldwide. High grade of evidence now underscores the necessity for antimicrobial s

Cancer is considered as a common name to address a large group comprising more than 100 diseases affecting several parts of the body. All cancers show common characteristics such as the uncontrolled growth and proliferation of abnormal cells, infiltrating and spreading to different tissues and organs throughout the body, and destroying the normal cells and tissues. Cancer can begin in the epithelial tissue and is known as carcinomas, and when it begins in the connective or supportive tissue, they are called sarcomas. The blood cancers are known as leukemias, and when it begins in the plasma c

This article explores the profound impact of bioinformatics in the realm of precision oncology, revolutionising the understanding, diagnosis, and treatment of cancer. Bioinformatics, a multidisciplinary field, bridges the gap between vast biological datasets and meaningful insights, enabling personalised therapies and groundbreaking discoveries. However, challenges in data integrity, reproducibility, and infrastructure must be overcome to fully realise it’s potential. Bioinformatics stands as a beacon of hope, ushering in an era where cancer is decoded at its molecular core, promising improve