Results 131 to 140 of about 272,711 (168)
A combination of Δ9-tetrahydrocannabinol and cannabidiol modulates glutamate dynamics in the hippocampus of an animal model of Alzheimer's disease. [PDF]
Sánchez-Fernández N +18 more
europepmc +1 more source
A bivalent spike-targeting nanobody with anti-sarbecovirus activity. [PDF]
Swart IC +11 more
europepmc +1 more source
Some of the next articles are maybe not open access.
ACS Sensors, 2021
Circulating microRNAs have emerged as potential diagnostic biomarkers. The deregulation of the microRNA miR-99a-5p has been previously described as an effective biomarker of early breast cancer.
I. Garrido-Cano +9 more
semanticscholar +1 more source
Circulating microRNAs have emerged as potential diagnostic biomarkers. The deregulation of the microRNA miR-99a-5p has been previously described as an effective biomarker of early breast cancer.
I. Garrido-Cano +9 more
semanticscholar +1 more source
A label-free optical biosensor-based point-of-care test for the rapid detection of Monkeypox virus.
Biosensors & bioelectronicsDiagnostic approaches that combine the high sensitivity and specificity of laboratory-based digital detection with the ease of use and affordability of point-of-care (POC) technologies could revolutionize disease diagnostics.
Mete Aslan +10 more
semanticscholar +2 more sources
Whole genome landscapes of uveal melanoma show an ultraviolet radiation signature in iris tumours
Uveal melanoma (UM) is the most common intraocular tumour in adults and despite surgical or radiation treatment of primary tumours, ~50% of patients progress to metastatic disease.
Peter A Johansson +2 more
exaly +2 more sources
Analytical Chemistry, 2021
Tumor-derived exosomal miRNAs may have important functions in the onset and progression of cancers and are potential biomarkers for early diagnosis and prognosis monitoring.
Tingxian Li +7 more
semanticscholar +1 more source
Tumor-derived exosomal miRNAs may have important functions in the onset and progression of cancers and are potential biomarkers for early diagnosis and prognosis monitoring.
Tingxian Li +7 more
semanticscholar +1 more source
IEEE Transactions on Information Forensics and Security, 2020
Iris images captured in non-cooperative environments often suffer from adverse noise, which challenges many existing iris segmentation methods. To address this problem, this paper proposes a high-efficiency deep learning based iris segmentation approach,
Caiyong Wang, Liang Wang, Zhaofeng He
exaly +2 more sources
Iris images captured in non-cooperative environments often suffer from adverse noise, which challenges many existing iris segmentation methods. To address this problem, this paper proposes a high-efficiency deep learning based iris segmentation approach,
Caiyong Wang, Liang Wang, Zhaofeng He
exaly +2 more sources

