AIMC Topic: Programming Languages
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DeepClas4Bio: Connecting bioimaging tools with deep learning frameworks for image classification.
Computers in biology and medicine
Apr 6, 2019
BACKGROUND AND OBJECTIVE: Deep learning techniques have been successfully applied to tackle several image classification problems in bioimaging. However, the models created from deep learning frameworks cannot be easily accessed from bioimaging tools...
Selene: a PyTorch-based deep learning library for sequence data.
Nature methods
Mar 28, 2019
To enable the application of deep learning in biology, we present Selene (https://selene.flatironinstitute.org/), a PyTorch-based deep learning library for fast and easy development, training, and application of deep learning model architectures for ...
Self-Anamnesis with a Conversational User Interface: Concept and Usability Study.
Methods of information in medicine
Mar 15, 2019
OBJECTIVE: Self-anamnesis is a procedure in which a patient answers questions about the personal medical history without interacting directly with a doctor or medical assistant. If collected digitally, the anamnesis data can be shared among the healt...
An automated data verification approach for improving data quality in a clinical registry.
Computer methods and programs in biomedicine
Jan 31, 2019
BACKGROUND AND OBJECTIVE: The quality of data is crucial for clinical registry studies as it impacts credibility. In the regular practice of most such studies, a vulnerability arises from researchers recording data on paper-based case report forms (C...
Humans
Machine Learning
Algorithms
Reproducibility of Results
Regression Analysis
Natural Language Processing
Registries
Databases, Factual
Electronic Health Records
Language
Pattern Recognition, Automated
Information Storage and Retrieval
Coronary Artery Disease
Medical Informatics
Programming Languages
Automation
Data Accuracy
Validating quantum-classical programming models with tensor network simulations.
PloS one
Dec 10, 2018
The exploration of hybrid quantum-classical algorithms and programming models on noisy near-term quantum hardware has begun. As hybrid programs scale towards classical intractability, validation and benchmarking are critical to understanding the util...
MSIpred: a python package for tumor microsatellite instability classification from tumor mutation annotation data using a support vector machine.
Scientific reports
Dec 3, 2018
Microsatellite instability (MSI) is characterized by high degree of polymorphism in microsatellite lengths due to deficiency in mismatch repair (MMR) system. MSI is associated with several tumor types and its status can be considered as an important ...
Organic synthesis in a modular robotic system driven by a chemical programming language.
Science (New York, N.Y.)
Nov 29, 2018
The synthesis of complex organic compounds is largely a manual process that is often incompletely documented. To address these shortcomings, we developed an abstraction that maps commonly reported methodological instructions into discrete steps amena...
On String Languages Generated by Spiking Neural P Systems With Structural Plasticity.
IEEE transactions on nanobioscience
Nov 2, 2018
Spiking neural P systems (SNP systems) are parallel and non-deterministic models of computation, inspired by the neural system of the brain. A variant of SNP systems known as SNP systems with structural plasticity (SNPSP systems) includes the feature...
Arden Syntax: Then, now, and in the future.
Artificial intelligence in medicine
Oct 25, 2018
QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments.
PloS one
Oct 17, 2018
BACKGROUND: Over the past decade, machine learning techniques have revolutionized how research and science are done, from designing new materials and predicting their properties to data mining and analysis to assisting drug discovery to advancing cyb...
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