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Biomedical Engineering: Open Access

Biomedical Engineering: Open Access is a peer-reviewed, open-access journal dedicated to pushing the boundaries of biomedical science and engineering. This journal serves as an essential resource for engineers, scientists, and healthcare professionals across the globe, aiming to drive progress through the seamless integration of diverse disciplines such as biotechnology, medical devices, bioinformatics, artificial organs, rehabilitation engineering, and tissue engineering.

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Latest Articles

Review Article

Technological transformation of hand grip measurement devices: Key developments and trends

Rana Imadaildin Aidarous*; Nadhirah Bte Mohd Khaidir

Hand grip strength measurement is widely used in clinical practice to assess muscle function, nutritional status, and overall health. Over time, hand grip measurement devices have evolved from simple mechanical dynamometers to advanced digital, sensor-based, and Internet of Things (IoT)- enabled systems. This transformation has improved measurement accuracy, ..

Research Article

Chronic obstructive pulmonary disease prediction using deep convolutional network

Shahran Rahman Alve*; Muhammad Zawad Mahmud; Samiha Islam; Mohammad Monirujjaman Khan

AI and deep learning are two recent innovations that have made a big difference in helping to solve problems in the clinical space. Using clinical imaging and sound examination, they also work on improving their vision so that they can spot diseases early and correctly.

Short Commentary

Innovative research on an AI-integrated full-cycle intelligent management system for donor semen specimens in human sperm banks

Ling Wan#; Bingnan Liu#; Jing Huang*; Jigao Yang*

With the rapid advancement of Assisted Reproductive Technologies (ART), human sperm banks urgently require a transition from traditional management models to intelligent, data-driven systems.

Research Article

Lung disease detection using deep learning algorithms

Pradnya S Kulkarni*; Kunjal Thorat; Akshat Gautam; Dev Panpalia; Meghraj Gole; Vivek Khedkar

In today's international, correct and well-timed diagnosis of respiration sicknesses like pneumonia is critical for powerful treatment and advanced affected person consequences. Leveraging deep studying techniques, this research explores diverse methodologies for pneumonia detection from chest X-ray snap shots via dataset augmentation.

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