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Improved Scaffold Hopping in Ligand-Based Virtual Screening Using Neural Representation Learning.
Journal of chemical information and modeling
Aug 19, 2020
Deep learning has demonstrated significant potential in advancing state of the art in many problem domains, especially those benefiting from automated feature extraction. Yet, the methodology has seen limited adoption in the field of ligand-based vir...
Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.
Neural networks : the official journal of the International Neural Network Society
Aug 17, 2020
Neuromorphic data, recording frameless spike events, have attracted considerable attention for the spatiotemporal information components and the event-driven processing fashion. Spiking neural networks (SNNs) represent a family of event-driven models...
ZiMM: A deep learning model for long term and blurry relapses with non-clinical claims data.
Journal of biomedical informatics
Aug 17, 2020
This paper considers the problems of modeling and predicting a long-term and "blurry" relapse that occurs after a medical act, such as a surgery. We do not consider a short-term complication related to the act itself, but a long-term relapse that cli...
A comparison of regularized logistic regression and random forest machine learning models for daytime diagnosis of obstructive sleep apnea.
Medical & biological engineering & computing
Aug 17, 2020
A major challenge in big and high-dimensional data analysis is related to the classification and prediction of the variables of interest by characterizing the relationships between the characteristic factors and predictors. This study aims to assess ...
Reconfiguration of αmplitude driven dominant coupling modes (DoCM) mediated by α-band in adolescents with schizophrenia spectrum disorders.
Progress in neuro-psychopharmacology & biological psychiatry
Aug 14, 2020
Electroencephalography (EEG) based biomarkers have been shown to correlate with the presence of psychotic disorders. Increased delta and decreased alpha power in psychosis indicate an abnormal arousal state. We investigated brain activity across the ...
Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database.
The European respiratory journal
Aug 13, 2020
https://bit.ly/3eQeuha
New convolutional neural network model for screening and diagnosis of mammograms.
PloS one
Aug 13, 2020
Breast cancer is the most common cancer in women and poses a great threat to women's life and health. Mammography is an effective method for the diagnosis of breast cancer, but the results are largely limited by the clinical experience of radiologist...
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease.
International journal of neural systems
Aug 12, 2020
Finding new biomarkers to model Parkinson's Disease (PD) is a challenge not only to help discerning between Healthy Control (HC) subjects and patients with potential PD but also as a way to measure quantitatively the loss of dopaminergic neurons main...
Identifying COVID19 from Chest CT Images: A Deep Convolutional Neural Networks Based Approach.
Journal of healthcare engineering
Aug 11, 2020
Coronavirus Disease (COVID19) is a fast-spreading infectious disease that is currently causing a healthcare crisis around the world. Due to the current limitations of the reverse transcription-polymerase chain reaction (RT-PCR) based tests for detect...
Long-distance disorder-disorder relation extraction with bootstrapped noisy data.
Journal of biomedical informatics
Aug 7, 2020
OBJECTIVE: Artificial intelligence in healthcare increasingly relies on relations in knowledge graphs for algorithm development. However, many important relations are not well covered in existing knowledge graphs. We aim to develop a novel long-dista...
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