Institution
BC Cancer Agency
Recent research
- Health & MedicineOpen access
Social determinants of health, including socioeconomic status, education, employment, and residential location, are fundamental for survival. The aim was to assess the factors associated with experiences of navigation and support among Indigenous, Black and Asian Minority adults...
- Health & MedicineOpen access
Abstract In MAIA (Daratumumab, lenalidomide, and dexamethasone versus lenalidomide and dexamethasone alone in newly diagnosed multiple myeloma), daratumumab plus lenalidomide/dexamethasone (D-Rd) improved progression-free survival (PFS) and overall survival (OS) versus Rd in tran...
- AI & ComputingOpen access
Federated EGA in the European and Global Human Data Ecosystem
This Federated EGA in the European and Global Human Data Ecosystem white paper sets out our vision for the future role of Federated EGA (FEGA) in supporting secure, responsible and FAIR reuse of controlled-access human data. It describes how FEGA has developed into an operational...
- AI & ComputingOpen access
Ensemble clustering: A practical tutorial
Abstract Cluster analysis is an explorative analytical method, serving as a critical tool in psychology, psychiatry, and related fields to map heterogeneous data into meaningful subgroups. Despite their extensive historical use, traditional clustering techniques suffer from a lac...
- BiologyOpen access
miR-142-3p has emerged as an important regulator of cancer progression and treatment response, exhibiting predominantly tumor-suppressive functions. Intracellularly, miR-142-3p inhibits proliferation, promotes apoptosis, suppresses epithelial–mesenchymal transition (EMT), and enh...
- Health & MedicineOpen access
Abstract In previous analyses of MAIA, daratumumab plus lenalidomide/dexamethasone (D-Rd) significantly improved progression-free survival and overall survival (OS) versus lenalidomide/dexamethasone (Rd) in transplant-ineligible newly diagnosed multiple myeloma (NDMM). We report...
- Health & MedicineOpen access
Abstract Background Artificial intelligence (AI) has rapidly garnered interest in healthcare. Cancer care’s multidisciplinary nature and high coordination demands are well positioned to benefit from AI. While attitudes toward implementation of AI in medicine have been explored ge...