Results 151 to 160 of about 8,033,101 (355)
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan +9 more
wiley +1 more source
At November, 9 in 2013 was 170 years since the birth of the great russian anatomist D.N. Zernov, the professor of anatomy of the Moscow University. In 1869 D.N.
A. I. Shvedavchenko +2 more
doaj
Domain-specific summarization of Life-Science e-experiments from provenance traces
Alban Gaignard +4 more
openalex +2 more sources
An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Tiffany J. Callahan
openalex +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian +10 more
wiley +1 more source
It’s All in the Mix: A New Interprofessional, Blended-Learning Masters’ Program for Biomedical Data Science Addressing Physicians and Students from Life Sciences – Didactic Concept and First Experiences [PDF]
Michael Marschollek +3 more
openalex +1 more source

