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]

open access: yesNeurotherapeutics
Sánchez-Fernández N   +18 more
europepmc   +1 more source

A bivalent spike-targeting nanobody with anti-sarbecovirus activity. [PDF]

open access: yesJ Nanobiotechnology
Swart IC   +11 more
europepmc   +1 more source
Some of the next articles are maybe not open access.

Nanoporous Anodic Alumina-Based Sensor for miR-99a-5p Detection as an Effective Early Breast Cancer Diagnostic Tool.

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

A label-free optical biosensor-based point-of-care test for the rapid detection of Monkeypox virus.

Biosensors & bioelectronics
Diagnostic 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

open access: yesNature Communications, 2020
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

Carbon Nanotube Field-Effect Transistor Biosensor for Ultrasensitive and Label-Free Detection of Breast Cancer Exosomal miRNA21.

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

Towards Complete and Accurate Iris Segmentation Using Deep Multi-Task Attention Network for Non-Cooperative Iris Recognition

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

How Iris Recognition Works

IEEE Transactions on Circuits and Systems for Video Technology, 2004
J Daugman
exaly   +2 more sources

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