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BioMedInformatics, Volume 2, Issue 2

2022 June - 8 articles

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Articles (8)

  • Article
  • Open Access
3 Citations
3,538 Views
13 Pages

A Preliminary Evaluation of “GenDAI”, an AI-Assisted Laboratory Diagnostics Solution for Genomic Applications

  • Thomas Krause,
  • Elena Jolkver,
  • Sebastian Bruchhaus,
  • Paul Mc Kevitt,
  • Michael Kramer and
  • Matthias Hemmje

Genomic data enable the development of new biomarkers in diagnostic laboratories. Examples include data from gene expression analyses or metagenomics. Artificial intelligence can help to analyze these data. However, diagnostic laboratories face vario...

  • Article
  • Open Access
1 Citations
4,127 Views
14 Pages

Biophotogrammetric methods for postural analysis have shown effectiveness in the clinical practice because they do not expose individuals to radiation. Furthermore, valid statements can be made about postural weaknesses. Usually, such measurements ar...

  • Article
  • Open Access
13 Citations
5,196 Views
21 Pages

Meal and Physical Activity Detection from Free-Living Data for Discovering Disturbance Patterns of Glucose Levels in People with Diabetes

  • Mohammad Reza Askari,
  • Mudassir Rashid,
  • Xiaoyu Sun,
  • Mert Sevil,
  • Andrew Shahidehpour,
  • Keigo Kawaji and
  • Ali Cinar

Objective: The interpretation of time series data collected in free-living has gained importance in chronic disease management. Some data are collected objectively from sensors and some are estimated and entered by the individual. In type 1 diabetes...

  • Article
  • Open Access
2 Citations
2,691 Views
16 Pages

Bovine Milk Fat Intervention in Early Life and Its Impact on Microbiota, Metabolites and Clinical Phenotype: A Multi-Omics Stacked Regularization Approach

  • João Pereira,
  • Lucas R. F. Bresser,
  • Natal van Riel,
  • Ellen Looijesteijn,
  • Ruud Schoemaker,
  • Laurien H. Ulfman,
  • Prescilla Jeurink,
  • Eva Karaglani,
  • Yannis Manios and
  • Evgeni Levin
  • + 2 authors

The integration and analysis of multi-omics modalities is an important challenge in bioinformatics and data science in general. A standard approach is to conduct a series of univariate tests to determine the significance for each parameter, but this...

  • Article
  • Open Access
10 Citations
4,510 Views
13 Pages

The Use of the Random Number Generator and Artificial Intelligence Analysis for Dimensionality Reduction of Follicular Lymphoma Transcriptomic Data

  • Joaquim Carreras,
  • Yara Yukie Kikuti,
  • Masashi Miyaoka,
  • Shinichiro Hiraiwa,
  • Sakura Tomita,
  • Haruka Ikoma,
  • Yusuke Kondo,
  • Atsushi Ito,
  • Rifat Hamoudi and
  • Naoya Nakamura

Follicular lymphoma (FL) is one of the most frequent subtypes of non-Hodgkin lymphomas. This research predicted the prognosis of 184 untreated follicular lymphoma patients (LLMPP GSE16131 series), using gene expression data and artificial intelligenc...

  • Article
  • Open Access
4 Citations
3,828 Views
24 Pages

Deep Learning Architecture Optimization with Metaheuristic Algorithms for Predicting BRCA1/BRCA2 Pathogenicity NGS Analysis

  • Eric Pellegrino,
  • Theo Brunet,
  • Christel Pissier,
  • Clara Camilla,
  • Norman Abbou,
  • Nathalie Beaufils,
  • Isabelle Nanni-Metellus,
  • Philippe Métellus and
  • L’Houcine Ouafik

Motivation, BRCA1 and BRCA2 are genes with tumor suppressor activity. They are involved in a considerable number of biological processes. To help the biologist in tumor classification, we developed a deep learning algorithm. The question when we want...

  • Article
  • Open Access
2 Citations
2,938 Views
10 Pages

This paper describes the study of overlapping leukaemia cells based on geometric features for identification and classification. Geometric features of blood cells are proposed to identify and classify overlapping cells into groups based on different...

  • Article
  • Open Access
5 Citations
4,167 Views
17 Pages

Metformin is the most used oral anti-diabetic drug in the world and consequently is commonly found in the aquatic environment. Some studies demonstrated that metformin may act as an endocrine-disrupting-chemical (EDC) in fish, although it does not ha...

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BioMedInformatics - ISSN 2673-7426