AIMC Topic: Database Management Systems
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Diffusion enables integration of heterogeneous data and user-driven learning in a desktop knowledge-base.
PLoS computational biology
Aug 11, 2021
Integrating reference datasets (e.g. from high-throughput experiments) with unstructured and manually-assembled information (e.g. notes or comments from individual researchers) has the potential to tailor bioinformatic analyses to specific needs and ...
Multi-EPL: Accurate multi-source domain adaptation.
PloS one
Aug 5, 2021
Given multiple source datasets with labels, how can we train a target model with no labeled data? Multi-source domain adaptation (MSDA) aims to train a model using multiple source datasets different from a target dataset in the absence of target data...
A deep look into radiomics.
La Radiologia medica
Jul 2, 2021
Radiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into ...
Humans
Neuroimaging
Radiology Information Systems
Database Management Systems
Neoplasms
Data Mining
Deep Learning
Image Interpretation, Computer-Assisted
Consensus
Medical Oncology
Genomics
Algorithms
Neural Networks, Computer
Diagnostic Imaging
Precision Medicine
Workflow
Machine Learning
Prognosis
Data Analysis
A semantic database for integrated management of image and dosimetric data in low radiation dose research in medical imaging.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Medical ionizing radiation procedures and especially medical imaging are a non negligible source of exposure to patients. Whereas the biological effects of high absorbed doses are relatively well known, the effects of low absorbed doses are still deb...
Ontological approach to the knowledge systematization of a toxic process and toxic course representation framework for early drug risk management.
Scientific reports
Sep 3, 2020
Various types of drug toxicity can halt the development of a drug. Because drugs are xenobiotics, they inherently have the potential to cause injury. Clarifying the mechanisms of toxicity to evaluate and manage drug safety during drug development is ...
Expert-augmented machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Feb 18, 2020
Machine learning is proving invaluable across disciplines. However, its success is often limited by the quality and quantity of available data, while its adoption is limited by the level of trust afforded by given models. Human vs. machine performanc...
Knowledge Base Commons (KBCommons) v1.1: a universal framework for multi-omics data integration and biological discoveries.
BMC genomics
Dec 20, 2019
BACKGROUND: Knowledge Base Commons (KBCommons) v1.1 is a universal and all-inclusive web-based framework providing generic functionalities for storing, sharing, analyzing, exploring, integrating and visualizing multiple organisms' genomics and integr...
Use of Natural Language Processing to identify Obsessive Compulsive Symptoms in patients with schizophrenia, schizoaffective disorder or bipolar disorder.
Scientific reports
Oct 2, 2019
Obsessive and Compulsive Symptoms (OCS) or Obsessive Compulsive Disorder (OCD) in the context of schizophrenia or related disorders are of clinical importance as these are associated with a range of adverse outcomes. Natural Language Processing (NLP)...
Wikidata: A large-scale collaborative ontological medical database.
Journal of biomedical informatics
Sep 23, 2019
Created in October 2012, Wikidata is a large-scale, human-readable, machine-readable, multilingual, multidisciplinary, centralized, editable, structured, and linked knowledge-base with an increasing diversity of use cases. Here, we raise awareness of...
Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets.
BioEssays : news and reviews in molecular, cellular and developmental biology
May 16, 2019
Here, a streamlined, scalable, laboratory approach is discussed that enables medium-to-large dataset analysis. The presented approach combines data management, artificial intelligence, containerization, cluster orchestration, and quality control in a...
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