Results 41 to 50 of about 81,064 (299)
GRU Neural Network Improved Bioimpedance Based Stroke Volume Estimation during Ergometry Stress Test
Cardiovascular diseases (CVDs) are one of the leading members of non-communicable diseases. An early diagnosis is essential for effective treatment, to reduce hospitalization time and health care costs.
Mike Urban +6 more
doaj +1 more source
Single‐cell RNA sequencing reveals an opposite role of SLPI in basal tumors based on metastatic spread, along with shared activation of specific regulons in cancer cells and mature luminal lactocytes, as well as downregulation of MALAT1 and NEAT1 in the latter.
Pietro Ancona +4 more
wiley +1 more source
Angiotensin II (AngII), a neuropeptide, interacts with amyloid‐β (Aβ), a key player in Alzheimer's disease. This study reveals that AngII reduces Aβ aggregation and membrane disruption in vitro. Biophysical assays and molecular modeling suggest AngII binds disordered Aβ forms, potentially modulating early amyloidogenic events and contributing to ...
Mohsen Habibnia +5 more
wiley +1 more source
Weakly- and Semisupervised Probabilistic Segmentation and Quantification of Reverberation Artifacts
Objective and Impact Statement. We propose a weakly- and semisupervised, probabilistic needle-and-reverberation-artifact segmentation algorithm to separate the desired tissue-based pixel values from the superimposed artifacts.
Alex Ling Yu Hung +2 more
doaj +1 more source
The IQ‐compete assay for measuring mitochondrial protein import efficiencies in living yeast cells
The efficiency of mitochondrial protein import depends on the properties of the newly synthesized precursor proteins. The Import and de‐Quenching Competition (IQ‐compete) assay is a novel method to monitor the import efficiency of different proteins by fluorescence in living yeast cells.
Yasmin Hoffman +3 more
wiley +1 more source
Automated Digital Documentation and Interpretation of Subsurface Cultural Heritage Based on 3D Geometry and AI Inference [PDF]
This study presents a digital documentation and interpretation methodology for subsurface cultural heritage artifacts based on 3D geometry acquisition and AI inference.
K. Lee, K. Lee
doaj +1 more source
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh +8 more
wiley +1 more source
The radial error is the key performance indicator of ultra-precision axis. In order to measure and evaluate the radial error of ultra-precision axis with nanometer accuracy, a measurement system with an accuracy of nanometer based on capacitive ...
Xingbao Liu +5 more
doaj +1 more source
Genomics‐led approach to drug testing in models of undifferentiated pleomorphic sarcoma
GA text Genomic data from undifferentiated pleomorphic sarcoma patients and preclinical models were used to inform a targeted drug screen. Selected compounds were tested in 2D and 3D cultures of UPS cell lines. A combination of trametinib and infigratinib was synergistic in the majority of UPS cell lines tested, which was further confirmed in an ex ...
Piotr J. Manasterski +19 more
wiley +1 more source
Automatic Electroencephalogram Artifact Removal Using Deep Convolutional Neural Networks
Scalp electroencephalogram (EEG) is a non-invasive measure of brain activity. It is widely used in several applications including cognitive tasks, sleep stage detection, and seizure prediction.
Fabio Lopes +6 more
doaj +1 more source

