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BioMedInformatics, Volume 4, Issue 1

March 2024 - 48 articles

Cover Story: This Figure perfectly summarizes our young journal BioMedInformatics as it provides a bridge between medical science and new developments in bioinformatics in all its forms from biomedical informatics, as well as computational biology and medicine, linking patient diagnosis to new discoveries and personalized medicine. View this paper
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Articles (48)

  • Article
  • Open Access
6 Citations
5,740 Views
30 Pages

Background: In recent years, there has been increasing research in the applications of Artificial Intelligence in the medical industry. Digital pathology has seen great success in introducing the use of technology in the digitisation and analysis of...

  • Article
  • Open Access
6 Citations
2,614 Views
12 Pages

Weighted Rank Difference Ensemble: A New Form of Ensemble Feature Selection Method for Medical Datasets

  • Arju Manara Begum,
  • M. Rubaiyat Hossain Mondal,
  • Prajoy Podder and
  • Joarder Kamruzzaman

Background: Feature selection (FS), a crucial preprocessing step in machine learning, greatly reduces the dimension of data and improves model performance. This paper focuses on selecting features for medical data classification. Methods: In this wor...

  • Article
  • Open Access
1 Citations
3,341 Views
23 Pages

An Interactive Dashboard for Statistical Analysis of Intensive Care Unit COVID-19 Data

  • Rúben Dias,
  • Artur Ferreira,
  • Iola Pinto,
  • Carlos Geraldes,
  • Cristiana Von Rekowski and
  • Luís Bento

Background: COVID-19 caused a pandemic, due to its ease of transmission and high number of infections. The evolution of the pandemic and its consequences for the mortality and morbidity of populations, especially the elderly, generated several scient...

  • Article
  • Open Access
3 Citations
3,625 Views
17 Pages

This study investigates the potential of low-cost infrared cameras for non-contact monitoring of blood pressure (BP) in individuals with fragile health, particularly the elderly. Previous research has shown success in developing non-contact BP monito...

  • Article
  • Open Access
3 Citations
3,236 Views
14 Pages

Ensemble Methods to Optimize Automated Text Classification in Avatar Therapy

  • Alexandre Hudon,
  • Kingsada Phraxayavong,
  • Stéphane Potvin and
  • Alexandre Dumais

Background: Psychotherapeutic approaches such as Avatar Therapy (AT) are novel therapeutic attempts to help patients diagnosed with treatment-resistant schizophrenia. Qualitative analyses of immersive sessions of AT have been undertaken to enhance an...

  • Article
  • Open Access
13 Citations
6,715 Views
13 Pages

Lip-Reading Advancements: A 3D Convolutional Neural Network/Long Short-Term Memory Fusion for Precise Word Recognition

  • Themis Exarchos,
  • Georgios N. Dimitrakopoulos,
  • Aristidis G. Vrahatis,
  • Georgios Chrysovitsiotis,
  • Zoi Zachou and
  • Efthymios Kyrodimos

Lip reading, the art of deciphering spoken words from the visual cues of lip movements, has garnered significant interest for its potential applications in diverse fields, including assistive technologies, human–computer interaction, and securi...

  • Review
  • Open Access
2 Citations
3,565 Views
25 Pages

Unravelling Insights into the Evolution and Management of SARS-CoV-2

  • Aganze Gloire-Aimé Mushebenge,
  • Samuel Chima Ugbaja,
  • Nonkululeko Avril Mbatha,
  • Rene B. Khan and
  • Hezekiel M. Kumalo

Worldwide, the COVID-19 pandemic, caused by the brand-new coronavirus SARS-CoV-2, has claimed a sizable number of lives. The virus’ rapid spread and impact on every facet of human existence necessitate a continuous and dynamic examination of it...

  • Article
  • Open Access
3 Citations
2,181 Views
25 Pages

Toward Cancer Chemoprevention: Mathematical Modeling of Chemically Induced Carcinogenesis and Chemoprevention

  • Dimitrios G. Boucharas,
  • Chryssa Anastasiadou,
  • Spyridon Karkabounas,
  • Efthimia Antonopoulou and
  • George Manis

Cancer, which is currently rated as the second-leading cause of mortality across the globe, is one of the most hazardous disease groups that has plagued humanity for centuries. The experiments presented here span over two decades and were conducted o...

  • Article
  • Open Access
30 Citations
3,407 Views
13 Pages

Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures

  • Kannan Mayuri,
  • Durairaj Varalakshmi,
  • Mayakrishnan Tharaheswari,
  • Chaitanya Sree Somala,
  • Selvaraj Sathya Priya,
  • Nagaraj Bharathkumar,
  • Renganathan Senthil,
  • Raja Babu Singh Kushwah,
  • Sundaram Vickram and
  • Thirunavukarasou Anand
  • + 1 author

The fat mass and obesity-associated (FTO) protein catalyzes metal-dependent modifications of nucleic acids, namely the demethylation of methyl adenosine inside mRNA molecules. The FTO protein has been identified as a potential target for developing a...

  • Article
  • Open Access
7 Citations
3,800 Views
21 Pages

Uterine corpus endometrial carcinoma (UCEC) poses significant clinical challenges due to its high incidence and poor prognosis, exacerbated by the lack of effective screening methods. The standard treatment for UCEC typically involves surgical interv...

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BioMedInformatics - ISSN 2673-7426