The Future of Multidisciplinary Healthcare Research in the Era of Precision Medicine and Artificial Intelligence
DOI:
https://doi.org/10.68041/jmmhr.v1i1/01Keywords:
Precision Medicine, Artificial Intelligence, Multiomics, Biomedical Research, Machine Learning, Translational ResearchAbstract
Precision medicine together with Artificial Intelligence (AI) technologies is paving the way for the transformation from population-based to person-centric approaches to health care, thereby dramatically altering the landscape of multidisciplinary research in medicine. This editorial delves into the transformative potential of multi-omics integration through AI, network medicine, and the emergence of next-generation precision wellness frameworks, highlighting a novel approach. These developments hold the potential to shorten the drug discovery process, improve the precision of diagnostics, and improve outcomes for patients, but there are important issues around data harmonization, transparency of algorithms, regulatory review, and equitable access. This editorial explores a journey towards “next generation precision medicine”, highlighting the potential to digital twins, federated learning and N-of-1 clinical decision support. Inter-disciplinary teamwork, strong validation structures and governance processes that uphold patient safety are needed for the future. In conclusion, to make progress toward the vision of precision healthcare, we need to rethink research models, clinical practice and regulatory processes to realize the full potential of AI while mitigating its limitations and biases.
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