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While there is much to be excited about, issues such as data drift, poor performance on unseen data, lack of interpretability, lack of generalizability and more still plague methods and limit their clinical utility. The year 2025 was one of ‘foundation models’ for radiology and digital pathology, and while we are still excited for these technologies, our greater overarching interest lies in methods that are truly robust, trustworthy and accurate enough to be used in the clinic. Next-generation biomedical technologies learning and artificial intelligence have shown their potential in medicine, and we are actively seeking innovative work in this space.
As the global demand for healthcare technologies continues to rise, the report examines emerging trends, key players, and the impact of technological advancements on patient care. The Biomedical Engineering Outlook 2025 provides an overview of the industry’s current landscape, highlighting its growth and innovation. Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform. CW, HZ, TH, and CL designed the structure of this manuscript. AI-enhanced self-sustainable system for Artificial Intelligence of Things (AIoT) applications. A Bioinspired data fusion architecture by integrating visual data with somatosensory data from skin-like stretchable strain sensors (Wang, M. et al. 2020a, 2020b, 2020c).
Obtaining approval from regulatory bodies, such as the FDA, requires extensive testing and validation to ensure safety and efficacy. Customizable prosthetics and implants can be designed and manufactured to fit the unique anatomy of each patient. The future of nanotechnology in medicine includes advancements in cancer treatment, regenerative medicine, and precision surgery. Regenerative therapies aim to restore normal function by repairing or replacing damaged cells and tissues, offering hope for patients with previously untreatable conditions.
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Biomedical research institutions should collect, analyze, and disseminate comprehensive data on outcomes, demographics, and career aspirations of biomedical pre- and postdoctoral researchers using common standards and definitions as developed by the institutions in concert with the National Institutes of Health (NIH). Through the course of the workshop, the researchers identified five primary medical challenges that have yet to be addressed, but by solving them with advanced biomedical engineering approaches, can greatly improve human health. From AI-designed molecules and CRISPR-based therapies to programmable cells and automated labs, innovation is accelerating in the life sciences.
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The National Institutes of Health (NIH), research institutions, and principal investigators should share responsibility for increasing the diversity of and promoting the inclusion of early-career researchers. Research institutions and the National Institutes of Health should develop mechanisms to increase the number of individuals in staff scientist positions to provide more stable, non-faculty research opportunities for the next generation of researchers. Congress and the National Institutes of Health (NIH) should create and expand existing entrepreneurial and private-sector opportunities to attract and support the next generation of biomedical and behavioral researchers. The award recipients' home institutions should provide them with benefits commensurate to those provided to postdoctoral researchers supported on NIH research project grants and appropriate to their level of experience. Over the next 5 years, NIH should incrementally and steadily increase by 5-fold the number of individual research fellowship awards (F-type) and career development (K-type) awards for postdoctoral researchers.
Early diagnosis of disease has advanced through emerging innovations. The future of biomedical technology is bright, with numerous innovations on the horizon that have the potential to revolutionize healthcare. Efforts must be made to reduce costs and increase availability to ensure that all patients can benefit from the advancements in biomedical technology. These imaging modalities have been further refined with advancements in technology, offering higher resolution images and faster processing times. By integrating engineering principles with medical sciences, biomedical technology has paved the way for innovative diagnostic tools, treatment methods, and monitoring systems.