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
Optogenetic-induced α-synuclein accumulation reveals early synaptic dysfunction in experimental models of Parkinson's disease. [PDF]
Rodriguez-Aller R +6 more
europepmc +1 more source
Te Inclusions in CdTe grown from a slowly cooled Te solution and by the travelling solvent method
R.J. Dinger, I.L. Fowler
openalex +2 more sources
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
Familial ALS With p. L127S (L126S) Variant of the Cu/Zn SOD1 Gene: A Report of Two New Cases and Literature Review. [PDF]
Inoue K +6 more
europepmc +1 more source
Partycypacja społeczna w rozwoju lokalnym na przykładzie gmin w Specjalnej Strefie Włączenia województwa zachodniopomorskiego = Social participation in local development on the example of municipalities in the Special Inclusion Zone of Zachodniopomorskie Voivodeship [PDF]
Damian Mazurek
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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
Computational Strategy for Analyzing Effective Properties of Random Composites-Part III: Machine Learning. [PDF]
Mityushev V, Drygaś P, Walusiak Ł.
europepmc +1 more source

