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BioMedInformatics, Volume 3, Issue 1

March 2023 - 17 articles

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Cover Story: In the construction of SARS-CoV-2 vaccines, abilities to attack the virus and elicit immunity are important factors. During vaccine production, finding proper structural features, especially 3D structures, is a critical step for appropriate biological responses. However, analyzing a huge number of structural features from experimental data is time consuming and costly. Therefore, new computational analysis, especially molecular structural analysis using deep learning, is attracting attention. Deep learning has the potential to solve problems in the vaccine manufacturing process owing to its high performance, automatic feature extraction, and high-speed big data processing, among others. View this paper

Articles (17)

  • Opinion
  • Open Access
3 Citations
3,422 Views
7 Pages

Big Data in Chronic Kidney Disease: Evolution or Revolution?

  • Abbie Kitcher,
  • UZhe Ding,
  • Henry H. L. Wu and
  • Rajkumar Chinnadurai

Digital information storage capacity and biomedical technology advancements in recent decades have stimulated the maturity and popularization of “big data” in medicine. The value of utilizing big data as a diagnostic and prognostic tool h...

  • Study Protocol
  • Open Access
1 Citations
2,384 Views
8 Pages

Introduction: Digital health interventions are gradually being incorporated into the management of tuberculosis to ensure treatment adherence, but only a small number of trials focusing on latent tuberculosis infection (LTBI) care have tested and eva...

  • Article
  • Open Access
2 Citations
2,765 Views
32 Pages

Background: The Holter electrocardiogram (ECG) provides a long signal that represents the heart’s responses to both autonomic regulation and various phenomena, including heart tissue remodeling. Loss of information is a common result when using...

  • Systematic Review
  • Open Access
8 Citations
9,711 Views
27 Pages

With the increase in biosensors and data collection devices in the healthcare industry, artificial intelligence and machine learning have attracted much attention in recent years. In this study, we offered a comprehensive review of the current trends...

  • Article
  • Open Access
4 Citations
8,257 Views
16 Pages

An interesting issue observed in some drugs is the “double peak phenomenon” (DPP). In DPP, the concentration-time (C-t) profile does not follow the usual shape but climbs to a peak and then begins to degrade before rising again to a secon...

  • Article
  • Open Access
1 Citations
2,615 Views
13 Pages

Ablefit: Development of an Advanced System for Rehabilitation

  • Hugo Neves,
  • Arménio Cruz,
  • Rafael A. Bernardes,
  • Remy Cardoso,
  • Mónica Pimentel,
  • Filipa Margarida Duque,
  • Eliana Lopes,
  • Daniela Veiga,
  • Cândida Malça and
  • Rúben Durães
  • + 4 authors

Bedridden patients risk presenting several problems caused by prolonged immobility, leading to a long recovery process. There is thus a need to develop solutions that ensure the implementation of physical rehabilitation programs in a controlled and i...

  • Article
  • Open Access
4 Citations
2,245 Views
14 Pages

The radiation adaptive response effect is a biophysical phenomenon responsible for the enhancement of repair processes in irradiated cells. This can be observed in dedicated radiobiological experiments, e.g., where the small priming dose of ionising...

  • Article
  • Open Access
2 Citations
2,680 Views
9 Pages

Dementia is characterized as a decline in cognitive function, including memory, language and problem-solving abilities. In this paper, we conducted a Genome-Wide Association Study (GWAS) using data from the electronic Medical Records and Genomics (eM...

  • Review
  • Open Access
3 Citations
7,438 Views
26 Pages

Background: Nowadays, much research deals with the application of the automated meta-analysis of clinical trials through appropriate machine learning tools to extract the results that can then be applied in daily clinical practice. Methods: The autho...

  • Review
  • Open Access
5 Citations
5,483 Views
11 Pages

Artificial Intelligence in Bladder Cancer Diagnosis: Current Applications and Future Perspectives

  • Giulio Rossin,
  • Federico Zorzi,
  • Luca Ongaro,
  • Andrea Piasentin,
  • Francesca Vedovo,
  • Giovanni Liguori,
  • Alessandro Zucchi,
  • Alchiede Simonato,
  • Riccardo Bartoletti and
  • Carlo Trombetta
  • + 2 authors

Bladder cancer (BCa) is one of the most diagnosed urological malignancies. A timely and accurate diagnosis is crucial at the first assessment as well as at the follow up after curative treatments. Moreover, in the era of precision medicine, proper mo...

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