AIMC Topic: Informatics

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Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery.

Briefings in bioinformatics
Computational analysis of RNA sequences constitutes a crucial step in the field of RNA biology. As in other domains of the life sciences, the incorporation of artificial intelligence and machine learning techniques into RNA sequence analysis has gain...

Special issue: informatics & data-driven medicine-2021.

Mathematical biosciences and engineering : MBE
Modern medical diagnosis, treatment, or rehabilitation problems of the patient reach completely different levels due to the rapid development of artificial intelligence tools. Methods of machine learning and optimization based on the intersection of ...

Polymer informatics for QSPR prediction of tensile mechanical properties. Case study: Strength at break.

The Journal of chemical physics
The artificial intelligence-based prediction of the mechanical properties derived from the tensile test plays a key role in assessing the application profile of new polymeric materials, especially in the design stage, prior to synthesis. This strateg...

Cardiovascular informatics: building a bridge to data harmony.

Cardiovascular research
The search for new strategies for better understanding cardiovascular (CV) disease is a constant one, spanning multitudinous types of observations and studies. A comprehensive characterization of each disease state and its biomolecular underpinnings ...

Design thinking in applied informatics: what can we learn from Project HealthDesign?

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The goals of this study are to describe the value and impact of Project HealthDesign (PHD), a program of the Robert Wood Johnson Foundation that applied design thinking to personal health records, and to explore the applicability of the PH...

Special issue: Informatics & data-driven medicine.

Mathematical biosciences and engineering : MBE
The current state of the development of Medicine today is changing dramatically. Previously, data of the patient's health were collected only during a visit to the clinic. These were small chunks of information obtained from observations or experimen...

[Application of neural network autoencoder algorithm in the cancer informatics research].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
Cancers have been widely recognized as highly heterogeneous diseases, and early diagnosis and prognosis of cancer types have become the focus of cancer research. In the era of big data, efficient mining of massive biomedical data has become a grand c...

Evaluating recommender systems for AI-driven biomedical informatics.

Bioinformatics (Oxford, England)
MOTIVATION: Many researchers with domain expertise are unable to easily apply machine learning (ML) to their bioinformatics data due to a lack of ML and/or coding expertise. Methods that have been proposed thus far to automate ML mostly require progr...

Applied Informatics Decision Support Tool for Mortality Predictions in Patients With Cancer.

JCO clinical cancer informatics
PURPOSE: With rapidly evolving treatment options in cancer, the complexity in the clinical decision-making process for oncologists represents a growing challenge magnified by oncologists' disposition of intuition-based assessment of treatment risks a...

Relational Learning and Network Modelling Using Infinite Latent Attribute Models.

IEEE transactions on pattern analysis and machine intelligence
Latent variable models for network data extract a summary of the relational structure underlying an observed network. The simplest possible models subdivide nodes of the network into clusters; the probability of a link between any two nodes then depe...