Publications by authors named "Y Rashid"

This narrative review explores the burgeoning field of Artificial Intelligence (AI)-driven Breast Cancer (BC) survival prediction, emphasizing the transformative impact on patient care. From machine learning to deep neural networks, diverse models demonstrate the potential to refine prognosis accuracy and tailor treatment strategies. The literature underscores the need for clinician integration and addresses challenges of model generalizability and ethical considerations.

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Aim: The management of metastatic prostate cancer has progressed immensely in the last decade. This study aims to investigate the real-world clinical outcomes of metastatic prostate adenocarcinoma treated with abiraterone and enzalutamide. The findings will assist healthcare providers in making more informed decisions when choosing between these two drugs for treating these patients.

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Background: Renal cell carcinomas (RCCs) are renal parenchymal neoplasms that contribute to <5% of cancer cases worldwide. Within the diverse group of renal tumours, clear cell carcinoma is the most common subtype. The recommended first-line treatment for metastatic disease is a tyrosine kinase inhibitor given either as monotherapy or in combination with an immune checkpoint inhibitor, based on improved survival outcomes.

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Background: Esophageal neoplasms rank as the 7th most common cancers in the world. Squamous cell carcinomas of esophagus (SCCE) are the predominant subset, linked to a number of genetic alterations. Gene-driven tumour pathways are being increasingly identified with the emerging role of next-generation sequencing.

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Article Synopsis
  • Streptococcus pneumoniae is a significant cause of meningitis in underdeveloped countries with low vaccination rates, and this study analyzed 83 suspected meningitis patients in Karachi to identify and sequence the bacteria.
  • Out of 83 samples, 33 showed signs of potential meningitis, with 20 confirmed cases of bacterial meningitis, resulting in five isolates of S. pneumoniae being identified, one of which exhibited resistance to multiple antibiotics.
  • The whole-genome sequencing of the resistant strain revealed critical genetic factors for antibiotic resistance and indicated a close relation to strains from Hungary and the USA, contributing to our understanding of the prevalence and characteristics of S. pneumoniae in Karachi.
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