Evaluating the effectiveness of cancer treatments in relation to specific tumor mutations is essential for improving patient outcomes and advancing the field of precision medicine. Here we represent a comprehensive analysis of 78,287 U.S.
View Article and Find Full Text PDFBackground: Despite the increasing integration of competency-based education in medicine, there remains a significant gap in effectively assessing educational outcomes, underscoring the urgent need for designed assessment blueprints that accurately reflect both curriculum content and competency standards in Community Medicine for undergraduate students. This study, conducted across the All-India Institute of Medical Sciences (AIIMS) network, develops a summative assessment blueprint aimed at standardizing evaluations in medical education across diverse geographic locations in India.
Methods: Twenty-five experts from 10 All India Institutes of Medical Science were invited via email and contributed for summative assessment for a theory paper.
Introduction: The cut-off for referral to a higher center and further investigations for the delayed passage of first urine and meconium by a neonate have been traditionally kept after 48 hours of birth. There are very few studies regarding this in Indian neonates, and previous studies have relied primarily on the mother's recall of the event which may have led to recall bias. Therefore, through this study, we wanted to use hospital intake/output records to identify the risk factors that affect the timing of passage of first urine and stool in neonates delivered at our center and to find out if the cut-off of 48 hours to call it a delay is justifiable.
View Article and Find Full Text PDFPurpose: There is no current standard treatment regimen for carcinoma ex pleomorphic adenoma (CXPA) of the lacrimal gland. Neoadjuvant intraarterial cytoreductive chemotherapy (IACC) followed by multimodal therapy has achieved good locoregional control in adenoid cystic carcinoma of the lacrimal gland. We reviewed our experience with neoadjuvant IACC followed by multimodal therapy for CXPA of the lacrimal gland.
View Article and Find Full Text PDFOver the past few decades, machine learning and deep learning (DL) have incredibly influenced a broader range of scientific disciplines. DL-based strategies have displayed superior performance in image processing compared to conventional standard methods, especially in healthcare settings. Among the biggest threats to global public health is the fast spread of malaria.
View Article and Find Full Text PDF