Emerging Biomedical Technologies: Clinical Implications and Ethical Considerations in Modern Healthcare | ||
| Benha Medical Journal | ||
| Volume 42, Issue 10, October 2025, Pages 52-70 PDF (764.99 K) | ||
| Document Type: Review Article | ||
| DOI: 10.21608/bmfj.2025.399809.2512 | ||
| Authors | ||
| Shofia Saghya Infant; Bhavani Sowndharya B; VICKRAM A S* ; Saravanan A | ||
| Department of Biotechnology, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, 602105, India | ||
| Abstract | ||
| New biomedical technologies are transforming the practice of medicine for the patients and healthcare providers of today. Advanced technologies, such as AI, CRISPR-Cas9 genome editing, 3D bioprinting, and wearable biosensors, are becoming incorporated into clinical practice, with impact in a time frame that can be calibrated. For example, AI-based diagnostic systems have shown the performance that exceeds the average of clinicians with an accuracy of 94.6% for diabetic retinopathy detection. Early-phase trials have reported success rates of more than 85% with CRISPR to treat β-thalassemia and sickle cell anemia. Likewise, 3D bioprinted skin grafts accelerated healing by 30% in burn victims when compared to traditional methods. These transformative advances raise perplexing ethical issues such as data privacy, consent, equity of access, and long-term safety. For instance, although wearable biosensors contribute to better real-time patient surveillance in cardiology, aviation and aerospace, continuous monitoring also raises major privacy issues. In addition, the expensive nature of gene-editing treatments (typically costing more than $1 million per treatment) imposes constraints on accessibility in low-resource settings. The misalignment of incentives will require ethical frameworks to shape the responsible integration of these disparities. On the whole, as new biomedical technologies have unprecedented scope, their clinical dissemination should be accompanied with adequate ethical governance, in order to guarantee a fair, safe and effective health care for all. | ||
| Keywords | ||
| Artificial intelligence in diagnostics; CRISPR-Cas9; 3D bioprinting; Wearable biosensors; Regenerative medicine | ||
|
Statistics Article View: 5 PDF Download: 5 |
||
