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Emerging Trends in Data Science Applications in Life Sciences: From Claims Analytics to Precision Medicine
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 31 |
| Year of Publication: 2025 |
| Authors: Hemanth Dandu |
10.5120/ijca2025925559
|
Hemanth Dandu . Emerging Trends in Data Science Applications in Life Sciences: From Claims Analytics to Precision Medicine. International Journal of Computer Applications. 187, 31 ( Aug 2025), 65-71. DOI=10.5120/ijca2025925559
Abstract
Convergence of life sciences and data sciences is revolutionizing healthcare by improving precision medicine, clinical analytics, and population health. This review considers future trends from 2019 to 2025, including the application of AI, machine learning, and predictive analytics in improving diagnostics and treatment planning. Fueled by wearable sensor data, imaging, genomics, and electronic health records, healthcare analytics will grow from $2.88 billion in 2024 to $8.88 billion in 2029. Precision medicine alone will be $168.3 billion by 2032. This study reviews 45 peer-reviewed articles and reports, providing metrics of diagnostic accuracy, cost savings, and implementation success. Time has to be invested in talking about clinical decision support systems, multi-omics integration, and personalized care. While advantages have been shown, e.g., an increase in diagnostic accuracy by 23%, data interoperability, ethics, and regulation are challenges. Overcoming these challenges will unlock the full potential of data-driven healthcare.
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