Personalized Healthcare: Fusing Biomedical Engineering and AI for Customized Patient Care

EasyChair Preprint no. 12712

Abstract

In recent years, the convergence of biomedical engineering and artificial intelligence (AI) has revolutionized healthcare, leading to the emergence of personalized medicine. This paradigm shift aims to tailor medical interventions to individual patients, considering their unique genetic makeup, lifestyle factors, and medical history. This paper explores the integration of biomedical engineering and AI in the context of personalized healthcare, highlighting its potential to revolutionize patient care. By harnessing advanced technologies such as machine learning, data analytics, and biomedical sensors, healthcare providers can gain deeper insights into patient health and deliver more effective and efficient treatments. This paper discusses key applications of personalized healthcare, including disease diagnosis, treatment optimization, and remote patient monitoring. Additionally, it addresses challenges related to data privacy, ethical considerations, and regulatory frameworks. Overall, the fusion of biomedical engineering and AI holds immense promise for transforming healthcare delivery and improving patient outcomes.

Keyphrases: Artificial Intelligence, Biomedical Engineering, Disease Diagnosis, machine learning, patient care, Personalized Healthcare, treatment optimization

@Booklet{EasyChair:12712,
  author = {Wajid Kumar},
  title = {Personalized Healthcare: Fusing Biomedical Engineering and AI for Customized Patient Care},
  howpublished = {EasyChair Preprint no. 12712},

  year = {EasyChair, 2024}}