Giant basal cell carcinoma of the back - A tumor of the neglect.

Giant basal cell carcinomas (GBCCs) represent only 0.5-1% of all basal carcinomas and are known to occur and behave differently than other basal cell carcinomas. We report a 93-year-old gentleman with GBCC of the back of superficial spreading histological type who we treated with radical radiotherapy with excellent local control.

Nature's Marvels: Exploring the Multifaceted Applications of Surfactin and Rhamnolipids.

Biosurfactants are fascinating amphiphilic molecules synthesized by living sources, such as bacteria and fungi. Biosurfactants can be lipopeptides, glycolipids, lipopolysaccharides, phospholipids, proteins, and polymeric substances in nature. With their unique surface-active properties, these molecules play a vital role in numerous industrial, environmental, and biomedical applications.

Retrospective Analysis of Dosimetric Comparison Between Intensity-Modulated Radiation Therapy and Volumetric-Modulated Arc Therapy in Patients With Esophageal Cancer.

Introduction Esophageal cancer is a significant global health concern, with high incidence and mortality rates, particularly in India, where it ranks among the top causes of cancer-related deaths. Radiotherapy plays a critical role in the treatment of advanced-stage esophageal cancer. This study aims to compare the dosimetric outcomes of intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT) to evaluate their efficacy and safety in managing mid-esophageal carcinoma.

Parallel development of object recognition in newborn chicks and deep neural networks.

How do newborns learn to see? We propose that visual systems are space-time fitters, meaning visual development can be understood as a blind fitting process (akin to evolution) in which visual systems gradually adapt to the spatiotemporal data distributions in the newborn's environment. To test whether space-time fitting is a viable theory for learning how to see, we performed parallel controlled-rearing experiments on newborn chicks and deep neural networks (DNNs), including CNNs and transformers. First, we raised newborn chicks in impoverished environments containing a single object, then simulated those environments in a video game engine.

Descriptive study of patient outcome and satisfaction with telemedicine and physical consultation during and after the COVID-19 pandemic.

Purpose: This study was conducted to assess patients' outcome and satisfaction with the eye care received with telemedicine and physical consultation at a tertiary care hospital during and after the coronavirus disease 2019 (COVID-19) pandemic.

Methods: A descriptive study was carried out on 6052 patients who consulted for eye illness at a tertiary care hospital between April 2020 and December 2022. An outcome scoring system was developed and validated for the assessment of patient outcome after providing treatment on telemedicine consultation and physical consultation.