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Machine Learning Methods in Drug Discovery.

Molecules (Basel, Switzerland) Nov 12, 2020
The advancements of information technology and related processing techniques have created a fertile base for progress in many scientific fields and industries. In the fields of drug discovery and development, machine learning techniques have been use...
Bayes Theorem Internet Monte Carlo Method Deep Learning Computational Biology Support Vector Machine Machine Learning Humans Software Databases, Factual Reproducibility of Results Algorithms Drug Discovery
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A convolutional neural network segments yeast microscopy images with high accuracy.

Nature communications Nov 12, 2020
The identification of cell borders ('segmentation') in microscopy images constitutes a bottleneck for large-scale experiments. For the model organism Saccharomyces cerevisiae, current segmentation methods face challenges when cells bud, crowd, or exh...
Neural Networks, Computer Software Saccharomyces cerevisiae Cell Cycle Image Processing, Computer-Assisted Microscopy
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Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.

EBioMedicine Nov 10, 2020
BACKGROUND: Diagnosis of rib fractures plays an important role in identifying trauma severity. However, quickly and precisely identifying the rib fractures in a large number of CT images with increasing number of patients is a tough task, which is al...
Humans Neural Networks, Computer Software Image Processing, Computer-Assisted Reproducibility of Results Deep Learning Algorithms ROC Curve Rib Fractures Tomography, X-Ray Computed
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Better understanding and prediction of antiviral peptides through primary and secondary structure feature importance.

Scientific reports Nov 6, 2020
The emergence of viral epidemics throughout the world is of concern due to the scarcity of available effective antiviral therapeutics. The discovery of new antiviral therapies is imperative to address this challenge, and antiviral peptides (AVPs) rep...
Antiviral Agents Amino Acid Sequence Machine Learning Software Peptides
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Global gene network exploration based on explainable artificial intelligence approach.

PloS one Nov 6, 2020
In recent years, personalized gene regulatory networks have received significant attention, and interpretation of the multilayer networks has been a critical issue for a comprehensive understanding of gene regulatory systems. Although several statist...
Principal Component Analysis Biomarkers Epithelial-Mesenchymal Transition Humans Gene Regulatory Networks Transcription Factors Artificial Intelligence Software
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[A brief history of artificial intelligence].

Medecine sciences : M/S Nov 5, 2020
For more than a decade, we have witnessed an acceleration in the development and the adoption of artificial intelligence (AI) technologies. In medicine, it impacts clinical and fundamental research, hospital practices, medical examinations, hospital ...
Comprehension History, 20th Century Data Curation Deep Learning Data Interpretation, Statistical History, 21st Century Knowledge History, 19th Century Artificial Intelligence Software Data Analysis Algorithms Forecasting Computer Simulation Humans
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Accuracy of machine learning-based prediction of medication adherence in clinical research.

Psychiatry research Nov 4, 2020
Medication non-adherence represents a significant barrier to treatment efficacy. Remote, real-time measurement of medication dosing can facilitate dynamic prediction of risk for medication non-adherence, which in-turn allows for proactive clinical in...
Male Middle Aged Medication Adherence Female Adult Biomedical Research Humans Treatment Outcome Clinical Trials as Topic Machine Learning Software Forecasting
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An artificial intelligence-based first-line defence against COVID-19: digitally screening citizens for risks via a chatbot.

Scientific reports Nov 4, 2020
To combat the pandemic of the coronavirus disease 2019 (COVID-19), numerous governments have established phone hotlines to prescreen potential cases. These hotlines have struggled with the volume of callers, leading to wait times of hours or, even, a...
Artificial Intelligence Software Pandemics Humans Telemedicine Pneumonia, Viral COVID-19 Mass Screening Coronavirus Infections
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Deep Neural Networks for Survival Analysis Using Pseudo Values.

IEEE journal of biomedical and health informatics Nov 4, 2020
There has been increasing interest in modelling survival data using deep learning methods in medical research. Current approaches have focused on designing special cost functions to handle censored survival data. We propose a very different method wi...
Neural Networks, Computer Software Algorithms Survival Analysis Humans
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DeepFRET, a software for rapid and automated single-molecule FRET data classification using deep learning.

eLife Nov 3, 2020
Single-molecule Förster Resonance energy transfer (smFRET) is an adaptable method for studying the structure and dynamics of biomolecules. The development of high throughput methodologies and the growth of commercial instrumentation have outpaced the...
Markov Chains Fluorescence Resonance Energy Transfer False Positive Reactions Kinetics Molecular Dynamics Simulation Nanotechnology Algorithms Reproducibility of Results Single Molecule Imaging Deep Learning Normal Distribution Software User-Computer Interface Fluorescent Dyes Signal Processing, Computer-Assisted
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