Progress in Biosensors for Biomedical Engineering Applications

Dear Colleagues,

Biosensors are transitioning from isolated laboratory tools into active partners in clinical decision-making, shifting medicine away from periodic hospital visits toward continuous, personalized health management. By converting complex physiological, biochemical, and neurological signals into clean, interpretable digital data, these technologies bridge the gap between biological systems and digital medicine.

This Special Issue, entitled "Progress in Biosensors for Biomedical Engineering Applications," highlights the recent interdisciplinary work driving these platforms forward. To keep the scope wide and inviting, we welcome submissions that address both physical sensor hardware and the intelligent computing systems that process their outputs.

On the hardware side, we welcome work on diverse transduction modalities, including optical, electrochemical, and acoustic systems as well as advancements in novel bioreceptors, flexible or stretchable substrates, biocompatible interfaces, and point-of-care microfluidic chips. Concurrently, to reflect the digital health transition, we encourage manuscripts exploring computational methods. This includes applying practical machine learning and deep learning models for biosignal processing, noise/artifact removal, and real-time monitoring. We also welcome work on multimodal sensor fusion, neuro-engineering interfaces (such as EEG and fNIRS), digital twins, and predictive analytics that turn raw data streams into robust clinical insights.

By bringing together materials science, device fabrication, and practical computing, this issue aims to outline the practical future of bio-integrated platforms. We invite academic, clinical, and industrial researchers to share their latest findings, particularly those addressing translation, scale-up, and real-world validation challenges.

Dr. Manob Jyoti Saikia
Guest Editor

Manuscript Submission Information

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