Approaches of wearable and implantable biosensor towards of developing in precision medicine.

In the relentless pursuit of precision medicine, the intersection of cutting-edge technology and healthcare has given rise to a transformative era. At the forefront of this revolution stands the burgeoning field of wearable and implantable biosensors, promising a paradigm shift in how we monitor, analyze, and tailor medical interventions. As these miniature marvels seamlessly integrate with the human body, they weave a tapestry of real-time health data, offering unprecedented insights into individual physiological landscapes.

Dual electrochemical sensing of spiked virus and SARS-CoV-2 using natural bed-receptor (MV-gal1).

It has been necessary to use methods that can detect the specificity of a virus during virus screening. In this study, we use a dual platform to identify any spiked virus and specific SARS-CoV-2 antigen, sequentially. We introduce a natural bed-receptor surface as Microparticle Vesicle-Galactins1 (MV-gal1) with the ability of glycan binding to screen every spiked virus.

Slow manifolds within network dynamics encode working memory efficiently and robustly.

Working memory is a cognitive function involving the storage and manipulation of latent information over brief intervals of time, thus making it crucial for context-dependent computation. Here, we use a top-down modeling approach to examine network-level mechanisms of working memory, an enigmatic issue and central topic of study in neuroscience. We optimize thousands of recurrent rate-based neural networks on a working memory task and then perform dynamical systems analysis on the ensuing optimized networks, wherein we find that four distinct dynamical mechanisms can emerge.

Author Correction: Impediometric Electrochemical Sensor Based on The Inspiration of Carnation Italian Ringspot Virus Structure to Detect an Attommolar of miR.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Impediometric Electrochemical Sensor Based on The Inspiration of Carnation Italian Ringspot Virus Structure to Detect an Attommolar of miR.

Electrochemical sensors are the tools to detect the accurate and sensitive miRs. There is the challenge to increase the power and sensitivity of the surface for the electrochemical sensor. We design a virus-like hallow structure of cucoo that it holds the large amounts of p19 protein by mimicking of inherent virus (Carnation italian ringspot virus) to detect 21mir with the limit of detection (LOD = 1aM).

Different liposome patterns to detection of acute leukemia based on electrochemical cell sensor.

Leukemia is the worst type of malignancy in children which its proper diagnosis can be used in the treatment. We design the turn-off sensor by using the different electrochemical patterns of liposomes to the detection of acute lymphoblastic leukemia cells. Our design is first sandwiched by lectin liposome which increases the electrochemical exchange on the electrode.

Design of a DOPC-MoS/AuNP hybrid as an organic bed with higher amplification for miR detection in electrochemical biosensors.

The liposome-based biosensors are used for detection of nucleic acids and proteins as organic beds which are biocompatible tools for point of care tests, but their lack of sensitivity has been challenging. Therefore, designing a proper strategy is vital to increase the sensitivity of the target in diagnostic tests. In this study, for the first time, we use a combination of cationic DOPC liposome (dioleoylphosphatidylcholine) with MoS to enhance the sensitivity of liposomal sensors clearly.

Sequential or multiplex electrochemical detection of miRs based on the p19 function relative to three sandwiches of different structural hybrids on the liposomal sensor.

In this work, we designed a liposomal electrochemical sensor with DOTAP-DOPE liposome, chimeric probes, p19 as a caliper molecule, and the competitor structural hybrid (just RNA) for detection of three micro-RNAs in one SPCE/GNP electrode. The sensor is stabled when the cationic spherical DOTAP-DOPE liposomes sandwich with hybrids of the different sandwiched of probes (T-M-linear, Stem) and 21-124a-221miRs. With the addition of P19, in the presence of a sandwiched competitor (T-linear/21miR), the system is stable (ON) and is shut off in the presence of structural sandwiched hydrides of M-linear+124a/Stem+221 miR due to the lack of adequate access to segments of RNA-miRs of chimeric probes.

Author Correction: Electrochemical Sensor for Detection of miRs Based on the Differential Effect of Competitive Structures in The p19 Function.

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has been fixed in the paper.

A fires novel report of exosomal electrochemical sensor for sensing micro RNAs by using multi covalent attachment p19 with high sensitivity.

Exosomes are natural spherical phospholipids vesicles derived from cells. Dropping MCF-7 exosome (with high biomarkers as exosomal case) covalently onto the SCPE-GNP causes the sensor to be stable due to the electrochemical induction of positive charges of different biomarkers with [Fe(CN)6] reactions. In the following, the covalent p19 connection with the biomarkers of exosome turns off the sensor.

Electrochemical Sensor for Detection of miRs Based on the Differential Effect of Competitive Structures in The p19 Function.

The present study aim to design a liposomal electrochemical sensor using 1, 2-dioleoyl-3-trimethylammoniumpropane (DOTAP) and dioleoylphosphatidylethanolamine(DOPE), chimeric probes and p19, it has been considered as a caliper molecule as well. Also the competitor structural hybrid (RNA) was used to detect three types of miRs in one screen printed electrode modified by gold nanoparticle (SCPE/GNP). In this purpose, the sensor signal stabilized when the cationic DOTAP-DOPE with hybrids of the chimeric probes (Stem, M-linear) sandwiched in order to detect 221-124a miRs.

Trusted computing strengthens cloud authentication.

Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. Another entry on the list of cloud functions which has been handled internally is Identity Access Management (IAM). Companies encounter IAM as security challenges while adopting more technologies became apparent.