Results 101 to 110 of about 9,577 (247)

Conductive Hydrogel‐Enabled Electrode for Scalp Electroencephalography Monitoring

open access: yesSmall Methods, EarlyView.
Conductive hydrogels are emerging as effective EEG electrode‐scalp interfaces to overcome hair barriers. This review presents the demanding parameters for hair‐compatible hydrogel electrodes and summarizes their applications in healthcare and brain‐computer interfaces.
Zichong Ji   +14 more
wiley   +1 more source

0.5-V High-Order Universal Filter for Bio-Signal Processing Applications

open access: yesApplied Sciences
In this paper, a novel multiple-input operational transconductance amplifier (MI-OTA) is proposed. The MI-OTA can be obtained by using the multiple-input bulk-driven MOS transistor (MIBD MOST) technique.
Montree Kumngern   +3 more
doaj   +1 more source

XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge

open access: yes, 2019
Bio-signals exhibit high redundancy, and the algorithms for their processing are inherently error resilient. This property can be leveraged to improve the energy-efficiency of IoT-Edge (wearables) through the emerging trend of approximate computing. This
Prabakaran, Bharath Srinivas   +2 more
core   +1 more source

Organic Transistor‐Based Neuromorphic Electronics and Their Recent Applications

open access: yesSmall Methods, EarlyView.
This review highlights recent progress in organic neuromorphic electronics, showing how organic semiconductors enable synaptic and neuronal functions with low power, mechanical flexibility, and biocompatibility. By bridging materials, devices, and systems, organic platforms are accelerating brain‐inspired computing toward applications in artificial ...
Ziru Wang, Feng Yan
wiley   +1 more source

Extra-mitochondrial ATP synthesis, proton dynamics at the membrane, and mitochondria-derived vesicles: Current findings and considerations

open access: yesMitochondrial Communications
Adenosine triphosphate (ATP) is essential for almost all life forms. In our article, we discuss (i) insights into the bioenergetics of ATP generation, including an extended view of proton currents during oxidative phosphorylation (OXPHOS), (ii ...
Alessandro Maria Morelli   +2 more
doaj   +1 more source

Deciphering diverse cell‐death patterns to predict the prognosis and potential therapy target of hepatocellular carcinoma patients

open access: yesVIEW, EarlyView.
Abstract Ninety percent of all primary liver malignancies are hepatocellular carcinomas (HCC), making liver cancer the third most common cause of cancer‐associated mortality. Different patterns of programmed cell death (PCD) are crucial for the survival of tumors, and they might serve as a prognostic marker for HCC.
Lin Ding   +10 more
wiley   +1 more source

Electronic health records improve the diagnosis and prognosis of pulmonary fungal infections in lung cancer patients

open access: yesVIEW, EarlyView.
Pulmonary fungal infections are life‐threatening complications in lung cancer patients, posing significant challenges in clinical management. To address this, we developed machine learning tools that translate routine electronic health record data into actionable insights for diagnosing infections and assessing prognosis.
Hongwei Meng   +14 more
wiley   +1 more source

DySpect-Net: Neural Network Predicting Spectrum From Non-Uniformly Sampled Data

open access: yesIEEE Access
Accurate spectral estimation from irregularly sampled signals is a long-standing challenge in signal processing, particularly in biomedical applications.
Jana Sturekova   +5 more
doaj   +1 more source

In situ monitoring of cell adhesion kinetics using label‐free optical biosensors: Evaluating anticancer potential and selectivity of natural compounds

open access: yesVIEW, EarlyView.
The limitations of conventional techniques hinder the identification of natural compounds with anticancer potential in terms of speed, throughput, sensitivity, and capability of continuous monitoring of relevant biological effects. Novel label‐free optical biosensors represent new opportunities in the discovery of drug candidates, eliminating these ...
Beatrix Péter   +10 more
wiley   +1 more source

Identification of genetically predicted protein biomarkers and drug targets for prostate cancer via Mendelian randomization

open access: yesVIEW, EarlyView.
Prostate cancer, a leading cause of cancer in men globally, urgently requires improved diagnostic and treatment strategies. This study analyzed large genetic datasets and identified five key proteins (THBD, DST, IFI27L2, OSBPL10, PPP1R14A) that either increase or decrease cancer risk, while also exploring their roles in immune response and potential ...
Maoping Cai   +11 more
wiley   +1 more source

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