IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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BIOMEDICAL ENGINEERING AND HEALTHCARE TECHNOLOGIES:ADVANCES, APPLICATIONS, AND FUTURE PROSPECTS

AUTHORS:
Deepak Yadav
Mentor
Prateek Mathur
Affiliation
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Where engineering meets medicine, new tools for health begin to take shape - devices that save lives, systems that spot illness early, methods that treat conditions in smarter ways. A look at today's biomedical research shows progress across fields like body scanners, sensors you wear on skin, artificial limbs, replacement joints, lab-grown tissues, remote doctor visits, and smart software that helps find disease. Each area has seen change thanks to fresh approaches from engineers working inside hospitals and labs. Some breakthroughs come from tiny machines traveling through blood, others from networks of connected hospital gear sharing data in real time. Learning computers now assist doctors by spotting patterns once too hard to see. Progress moves fast when physics, biology, and digital thinking pull in the same direction. Tools evolve not just in function but in how they fit human bodies and daily routines. One shift leads to another - a sensor improves implant design, which then shapes how treatment is delivered. Ideas cross borders: a method from brain scans may help repair damaged organs later. Speed matters less than precision when fixing what goes wrong inside people. What comes up often? Hurdles around rules, keepingpatient information secure, shrinking devices, along with making sure materials work safely inside bodies. Results show medicine now leans heavily on engineering advances - progress thrives only when experts across fields keep working together, ensuring treatments are safe, functional, and reachable everywhere.

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Yadav, D. (2026). Biomedical Engineering and Healthcare Technologies:Advances, Applications, and Future Prospects. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.139

Yadav, Deepak. "Biomedical Engineering and Healthcare Technologies:Advances, Applications, and Future Prospects." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.139.

Yadav, Deepak. "Biomedical Engineering and Healthcare Technologies:Advances, Applications, and Future Prospects." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.139.

References
[1] Bronzino, J. D. (2006). Biomedical Engineering Fundamentals. CRC Press/Taylor & Francis.

[2] Lunder old, A. S., & Lunder old, A. (2019). An overview of deep learning in medical imaging focusing on MRI. Festschrift für Diminished Physic, 29(2), 102-127.

[3] Dias, D., & Paulo Silva Cunha, J. (2018). Wearable health devices—vital sign monitoring, systems and technologies. Sensors, 18(8), 2414.

[4] Rajpurkar, P., Chen, E., Abernethy, A. P., et al. (2022). AI in health and medicine. Nature Medicine, 28(1), 31-38.

[5] Atala, A., & Yoo, J. J. (2015). Essentials of 3D Biofabrication and Translation. Academic Press.

[6] Farokhzad, O. C., & Langer, R. (2009). Impact of nanotechnology on drug delivery. ACS Nano, 3(1), 16-20.

[7] Miotto, R., Wang, F., Wang, S., et al. (2018). Deep learning for healthcare: review, opportunities and challenges. Briefings in Bioinformatics, 19(6), 1236-1246.

[8] World Health Organization. (2023). Global Strategy on Digital Health 2020-2025. WHO Press.

[9] Topol, E. J. (2019). High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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