Results 91 to 100 of about 26,009,318 (380)
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
Retracted: Investigation of Tribological Behaviour on DLC Coatings for AA5051 using DC Sputtering
Adsorption Science and Technology
doaj +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
Communications satellite technology [PDF]
Communications satellite technology - echo, relay, and syncom ...
Hedrich, A. L.
core +1 more source
Ising-like agent-based technology diffusion model: Adoption patterns vs. seeding strategies [PDF]
Carlos E. Laciana, Santiago L. Rovere
openalex +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
Learning First, Technology Second: Enhancing Missionary Training Through Technology [PDF]
This article describes how the missions agency EFCA ReachGlobal uses the open source online learning platform Moodle to train missionaries and to fulfill its goal to become a learning organization.
Manges, Ernest, Morgenstern, Mark
core +1 more source
Retracted: Intelligent Forecasting of Air Quality and Pollution Prediction Using Machine Learning
Adsorption Science and Technology
doaj +1 more source

