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BioMedInformatics, Volume 3, Issue 3

September 2023 - 18 articles

Cover Story: Human immunoglobulin allotypes are allelic antigenic determinants (or ‘markers’) that are determined serologically on human immunoglobulin (IG) or antibody heavy and light chains. These allotypes have been identified on gamma1, gamma2, gamma3 and alpha2 heavy chains (G1m, G2m, G3m and A2m allotypes, respectively) and on kappa light chain (Km allotypes). They represent a major system for understanding the immunogenicity of polymorphic IG chains in relation to amino acid and conformational changes. WHO/IMGT allotype nomenclature and the IMGT unique numbering for constant (C) domain, with the IMGT Collier de Perles graphical representation,  bridge Gm-Am and Km alleles to IGHC and IGKC gene alleles and structures and, by definition, to IG chain immunogenicity, enabling the immunoinformatics of personalized therapeutic antibodies and engineered variants. View this paper
 
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Articles (18)

  • Article
  • Open Access
3 Citations
2,475 Views
12 Pages

Explainable Machine Learning Models for Identification of Food-Related Lifestyle Factors in Chicken Meat Consumption Case in Northern Greece

  • Dimitrios Chiras,
  • Marina Stamatopoulou,
  • Nikolaos Paraskevis,
  • Serafeim Moustakidis,
  • Irini Tzimitra-Kalogianni and
  • Christos Kokkotis

A consumer’s decision-making process regarding the purchase of chicken meat is a multifaceted one, influenced by various food-related, personal, and environmental factors that interact with one another. The mediating effect of food lifestyle that bri...

  • Article
  • Open Access
9 Citations
7,898 Views
26 Pages

Synthetic MRI Generation from CT Scans for Stroke Patients

  • Jake McNaughton,
  • Samantha Holdsworth,
  • Benjamin Chong,
  • Justin Fernandez,
  • Vickie Shim and
  • Alan Wang

CT scans are currently the most common imaging modality used for suspected stroke patients due to their short acquisition time and wide availability. However, MRI offers superior tissue contrast and image quality. In this study, eight deep learning m...

  • Article
  • Open Access
3 Citations
3,334 Views
22 Pages

The anesthetic dosing procedure is a key element of safe surgical practice, where it is paramount to ensure sufficient dosing of the anesthetic agent to the patient in order to reach the desired depth of sedation for the necessary procedure. One mean...

  • Technical Note
  • Open Access
4 Citations
2,833 Views
17 Pages

Artificial intelligence is gaining interest among clinicians, but its results are difficult to be interpreted, especially when dealing with survival outcomes and censored observations. Explainable machine learning (XAI) has been recently extended to...

  • Review
  • Open Access
14 Citations
5,344 Views
28 Pages

Automated Methods for Tuberculosis Detection/Diagnosis: A Literature Review

  • Marios Zachariou,
  • Ognjen Arandjelović and
  • Derek James Sloan

Tuberculosis (TB) is one of the leading infectious causes of death worldwide. The effective management and public health control of this disease depends on early detection and careful treatment monitoring. For many years, the microscopy-based analysi...

  • Feature Paper
  • Article
  • Open Access
7 Citations
9,617 Views
10 Pages

Minimal Hip Joint Space Width Measured on X-rays by an Artificial Intelligence Algorithm—A Study of Reliability and Agreement

  • Anne Mathilde Andersen,
  • Benjamin S. B. Rasmussen,
  • Ole Graumann,
  • Søren Overgaard,
  • Michael Lundemann,
  • Martin Haagen Haubro,
  • Claus Varnum,
  • Janne Rasmussen and
  • Janni Jensen

Minimal joint space width (mJSW) is a radiographic measurement used in the diagnosis of hip osteoarthritis. A large variance when measuring mJSW highlights the need for a supporting diagnostic tool. This study aimed to estimate the reliability of a d...

  • Review
  • Open Access
11 Citations
2,919 Views
23 Pages

Deep Learning and Federated Learning for Screening COVID-19: A Review

  • M. Rubaiyat Hossain Mondal,
  • Subrato Bharati,
  • Prajoy Podder and
  • Joarder Kamruzzaman

Since December 2019, a novel coronavirus disease (COVID-19) has infected millions of individuals. This paper conducts a thorough study of the use of deep learning (DL) and federated learning (FL) approaches to COVID-19 screening. To begin, an evaluat...

  • Article
  • Open Access
8 Citations
6,834 Views
42 Pages

Human immunoglobulin allotypes are allelic antigenic determinants (or “markers”) determined serologically, classically by hemagglutination inhibition, on the human immunoglobulin (IG) or antibody heavy and light chains. The allotypes have...

  • Article
  • Open Access
1 Citations
2,451 Views
17 Pages

Deployment of an Automated Method Verification-Graphical User Interface (MV-GUI) Software

  • Priyanka Nagabhushana,
  • Cyrill Rütsche,
  • Christos Nakas and
  • Alexander B. Leichtle

Clinical laboratories frequently conduct method verification studies to ensure that the process meets quality standards for its intended use, such as patient testing. They play a pivotal role in healthcare, but issues such as accurate statistical ass...

  • Article
  • Open Access
18 Citations
9,514 Views
16 Pages

Breast cancer is among the most common cancers found in women, causing cancer-related deaths and making it a severe public health issue. Early prediction of breast cancer can increase the chances of survival and promote early medical treatment. Moreo...

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BioMedInformatics - ISSN 2673-7426