In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world's largest insurance program. To meet this target, the government will rely on technology to effectively scale services, monitor quality, and ensure accountability. While India has seen great strides in informational technology development and outsourcing, cellular phone penetration, cloud computing, and financial technology, the digital health ecosystem is in its nascent stages and has been waiting for a catalyst to seed the system.
View Article and Find Full Text PDFTumours are comprised of a highly heterogeneous population of cells, of which only a small subset of stem-like cells possess the ability to regenerate tumours in vivo. These cancer stem cells (CSCs) represent a significant clinical challenge as they are resistant to conventional cancer therapies and play essential roles in metastasis and tumour relapse. Despite this realization and great interest in CSCs, it has been difficult to develop CSC-targeted treatments due to our limited understanding of CSC biology.
View Article and Find Full Text PDFBackground: Neoadjuvant chemotherapy and trastuzumab is an established treatment for locally advanced HER2-positive breast cancer, providing favorable rates of clinical response and pCR. Minimal data describe long-term outcomes after neoadjuvant HER2-directed therapy. This study aimed to explore long-term efficacy and toxicity after neoadjuvant trastuzumab and chemotherapy for HER2-positive breast cancer.
View Article and Find Full Text PDFBackground: Sentinel lymph node biopsy (SNB) in pregnant women with breast cancer is uncommonly pursued given concern for fetal harm. This study evaluated efficacy and safety outcomes in pregnant breast cancer patients undergoing SNB.
Methods: Patients who underwent SNB while pregnant were identified from a retrospective parent cohort of women diagnosed with breast cancer during pregnancy.
Adenocarcinoma of the pancreas is a significant cause of cancer mortality, and up to 10 % of cases appear to be familial. Heritable genomic copy number variants (CNVs) can modulate gene expression and predispose to disease. Here, we identify candidate predisposition genes for familial pancreatic cancer (FPC) by analyzing germline losses or gains present in one or more high-risk patients and absent in a large control group.
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