Publications by authors named "M A Ghafoor"

Anaplasmosis is an infectious disease transmitted by ticks and caused by obligate intracellular pathogen of belonging to genus Infections of one-humped camels () and llamas () have been reported previously. The aim of this study was to investigate the seroprevalence and risk factors of anti- spp. antibodies in of the Punjab, Pakistan.

View Article and Find Full Text PDF

Uterine endometrioid carcinoma (UEC) has well-defined morphologic features that carry prognostic significance and guide treatment. In addition to the well-known features, tumor budding (TB), poorly differentiated clusters (PDCs), and amount of stroma within the invasive front are associated with a poor prognostic outcome in many carcinomas. Here, we evaluate TB, PDCs, and the stroma percentage in UEC and correlate these findings with morphologic features known to be associated with a poor clinical outcome and with recurrence-free survival (RFS).

View Article and Find Full Text PDF

often referred to as Cauliflower mushroom possess both medicinal and edibility values. In this research work, first time laccase purification and dye colourisation efficacy of 's purified laccase were assessed. Optimal laccase potential was noted after 12 day of incubation with 4 pH of medium at 45 °C.

View Article and Find Full Text PDF

Purpose: The purpose of this study is to develop an automated method using deep learning for the reliable and precise quantification of left ventricle structure and function from echocardiogram videos, eliminating the need to identify end-systolic and end-diastolic frames. This addresses the variability and potential inaccuracies associated with manual quantification, aiming to improve the diagnosis and management of cardiovascular conditions.

Methods: A single, fully automated multitask network, the EchoFused Network (EFNet) is introduced that simultaneously addresses both left ventricle segmentation and ejection fraction estimation tasks through cross-module fusion.

View Article and Find Full Text PDF

This study introduces a fractional order model to investigate the dynamics of polio disease spread, focusing on its significance, unique results, and conclusions. We emphasize the importance of understanding polio transmission dynamics and propose a novel approach using a fractional order model with an exponential decay kernel. Through rigorous analysis, including existence and stability assessment applying the Caputo Fabrizio fractional operator, we derive key insights into the disease dynamics.

View Article and Find Full Text PDF