Results 81 to 90 of about 9,277,012 (302)
Medical analysis and diagnosis by neural networks [PDF]
In its first part, this contribution reviews shortly the application of neural network methods to medical problems and characterizes its advantages and problems in the context of the medical background.
Brause, Rüdiger W.
core
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu +6 more
wiley +1 more source
The patient with ischemic stroke can benefit most from the earliest possible definitive diagnosis. While a quantitative evaluation of the stroke lesions on the magnetic resonance images (MRIs) is effective in clinical diagnosis, manually segmenting the ...
Zhiyang Liu +5 more
doaj +1 more source
Deep neural networks show great potential as solutions to many sensing application problems, but their excessive resource demand slows down execution time, pausing a serious impediment to deployment on low-end devices.
Abdelzaher, Tarek +6 more
core +1 more source
Neural Network Fusion Processing and Inverse Mapping to Combine Multisensor Satellite Data and Analyze the Prominent Features [PDF]
Gunjan Joshi, Ryo Natsuaki, Akira Hirose
openalex +1 more source
We propose a context‐dependent model where the Duchenne muscular dystrophy (DMD) gene acts as a tumour suppressor in aggressive tumours and as an oncogene in less aggressive ones. We propose this model as a unified framework to explain the opposing survival associations with DMD expression and to guide experimental exploration of the dual role of DMD ...
Lee Machado +4 more
wiley +1 more source
Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation
Neuromodulation therapy comprises a range of non-destructive and adjustable methods for modulating neural activity using electrical stimulations, chemical agents, or mechanical interventions.
Atefeh Asadi +5 more
doaj +1 more source
Machine Learning Topological Invariants with Neural Networks
In this Letter we supervisedly train neural networks to distinguish different topological phases in the context of topological band insulators. After training with Hamiltonians of one-dimensional insulators with chiral symmetry, the neural network can ...
Shen, Huitao, Zhai, Hui, Zhang, Pengfei
core +1 more source
Epigallocatechin‐3‐gallate (EGCG) acutely inhibited gluconeogenesis and enhanced glycolysis, glycogenolysis, and fatty acid oxidation in perfused rat livers. Mechanistic assays revealed mitochondrial uncoupling, inhibition of pyruvate carboxylation and glucose‐6‐phosphatase, shift of NADH/NAD+ ratios toward oxidation, and loss of membrane integrity ...
Carla Indianara Bonetti +8 more
wiley +1 more source

