You are currently viewing a new version of our website. To view the old version click .

Bioengineering, Volume 12, Issue 6

June 2025 - 119 articles

Cover Story: A novel protein engineering approach enhances the crystallization of the leaf branch compost cutinase (LCC) quadruple mutant ICCG, a key enzyme for effective PET recycling under mild conditions. By introducing targeted electrostatic interactions—specifically Arg–Glu pairs—at crystal contact sites, researchers generated the ICCGY T110E mutant with improved crystallizability in terms of faster crystallization at decreased protein concentrations. Controlled mutations at non-interacting sites confirmed the specificity of this strategy, with preservation of activity. This advancement facilitates more efficient downstream processing of biocatalysts, offering a rational method to streamline enzyme purification and support sustainable industrial biotechnology applications. View this paper
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (119)

  • Brief Report
  • Open Access
1 Citations
2,134 Views
10 Pages

Large-Scale Expansion of Suspension Cells in an Automated Hollow-Fiber Perfusion Bioreactor

  • Eric Bräuchle,
  • Maria Knaub,
  • Laura Weigand,
  • Elisabeth Ehrend,
  • Patricia Manns,
  • Antje Kremer,
  • Hugo Fabre and
  • Halvard Bonig

Bioreactors enable scalable cell cultivation by providing controlled environments for temperature, oxygen, and nutrient regulation, maintaining viability and enhancing expansion efficiency. Automated systems improve reproducibility and minimize conta...

  • Article
  • Open Access
1 Citations
1,121 Views
15 Pages

The study of electroencephalogram (EEG) signals is crucial for understanding brain function and has extensive applications in clinical diagnosis, neuroscience, and brain–computer interface technology. This paper addresses the challenge of recog...

  • Article
  • Open Access
2 Citations
945 Views
18 Pages

The clinical efficacy of inhalation therapy in chronic respiratory diseases is fundamentally constrained by particle deposition patterns. This study employs computational fluid dynamics (CFD) and response surface methodology (RSM) to elucidate the me...

  • Article
  • Open Access
1 Citations
946 Views
21 Pages

Automatic segmentation of nuclei on breast cancer histology images is a basic and important step for diagnosis in a computer-aided diagnostic approach and helps pathologists discover cancer early. Nuclei segmentation remains a challenging problem due...

  • Article
  • Open Access
3 Citations
1,949 Views
30 Pages

A CNN-Transformer Fusion Model for Proactive Detection of Schizophrenia Relapse from EEG Signals

  • Sana Yasin,
  • Muhammad Adeel,
  • Umar Draz,
  • Tariq Ali,
  • Mohammad Hijji,
  • Muhammad Ayaz and
  • Ashraf M. Marei

Proactively detecting schizophrenia relapse remains a critical challenge in psychiatric care, where traditional predictive models often fail to capture the complex neurophysiological and behavioral dynamics preceding recurrence. Existing methods typi...

  • Article
  • Open Access
2 Citations
2,000 Views
31 Pages

In recent years, an increasing number of women worldwide have been affected by breast cancer. Early detection is crucial, as it is the only way to identify abnormalities at an early stage. However, most deep learning models developed for classifying...

  • Review
  • Open Access
6 Citations
5,081 Views
53 Pages

Breast cancer remains a leading cause of cancer-related deaths among women worldwide, highlighting the urgent need for early detection. While mammography is the gold standard, it faces cost and accessibility barriers in resource-limited areas. Infrar...

  • Review
  • Open Access
1 Citations
3,355 Views
15 Pages

This narrative review aims to provide an in-depth understanding of the biomechanical consequences of medial meniscus posterior root tears (MMPRTs), with a particular focus on the role of hoop tension in meniscal function. By revisiting fundamental pr...

  • Article
  • Open Access
1,144 Views
13 Pages

Application of a Nomogram Model in Predicting Postoperative Delirium Following Percutaneous Coronary Intervention

  • Yaxin Xiong,
  • Ze Meng,
  • Jiuyue Sun,
  • Yucheng Qi,
  • Kuo Wang,
  • Ping Huang,
  • Qiuyue Yang,
  • Renliang Fan,
  • Jiaman Guan and
  • Mingyan Zhao
  • + 1 author

Background: Postoperative delirium is associated with an increased number of different complications, such as prolonged hospital stay, long-term cognitive impairment, and increased mortality. Therefore, early prediction of delirium after percutaneous...

  • Article
  • Open Access
1 Citations
1,168 Views
35 Pages

Liver Semantic Segmentation Method Based on Multi-Channel Feature Extraction and Cross Fusion

  • Chenghao Zhang,
  • Lingfei Wang,
  • Chunyu Zhang,
  • Yu Zhang,
  • Peng Wang and
  • Jin Li

Semantic segmentation plays a critical role in medical image analysis, offering indispensable information for the diagnosis and treatment planning of liver diseases. However, due to the complex anatomical structure of the liver and significant inter-...

of 12

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Bioengineering - ISSN 2306-5354