ARTIFICIAL NEURAL NETWORKS IN PHYSIOLOGY: EMERGING ROLES IN EDUCATION AND RESEARCH
DOI:
https://doi.org/10.69656/pjp.v22i2.1958Keywords:
Artificial Neural Networks, Computational models, Physiological systemsAbstract
Artificial neural networks (ANNs) have become central to biomedical science, offering new ways to understand complex physiological systems, enhance teaching, and accelerate research. Their capacity to model nonlinear biological processes makes them valuable tools for physiology education, where they support interactive simulations, adaptive learning, and computational training for undergraduate and graduate students. In research, ANNs enable the analysis of large datasets, prediction of physiological responses, and integration of experimental as well as computational approaches. Beyond these domains, ANNs support personalized medicine, real‑time physiological monitoring, drug development and pharmaceutical manufacturing. As these technologies continue to evolve, their influence on physiology is expected to deepen, offering new opportunities for discovery and innovation.
Pak J Physiol 2026;22(2):69–70, DOI: https://doi.org/10.69656/pjp.v22i2.1958
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Copyright (c) 2026 Ahmed Badar
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