Data sharing anchors reproducible science, but expectations and best practices are often
nebulous. Communities of funders, researchers and publishers continue to grapple with …

As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …

Human genomic data carry unique information about an individual and offer unprecedented
opportunities for healthcare. The clinical interpretations derived from large genomic datasets …

Pediatric brain tumors are the leading cause of cancer-related death in children in the
United States and contribute a disproportionate number of potential years of life lost …

Despite a growing interest in multi-omic research, individual investigators may struggle to
collect large-scale omic data, particularly from human subjects. Publicly available datasets …

PURPOSE Many institutions throughout the world have launched precision medicine
initiatives in oncology, and a large amount of clinical and genomic data is being produced …

Pediatric cancer is a rare disease with a low annual incidence, which presents a significant
challenge in being able to collect enough data to fuel clinical discoveries. Big data registry …

Reproducibility is essential to open science, as there is limited relevance for findings that
can not be reproduced by independent research groups, regardless of its validity. It is …

The vast amount of available sequencing data allows the scientific community to explore
different genetic alterations that may drive cancer or favor cancer progression. Software …

Abstract Background Lung neuroendocrine neoplasms (LNENs) are rare solid cancers, with
most genomic studies including a limited number of samples. Recently, generating the first …