Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/133427| Title: | The potential of statistical methods in clinical diagnostics |
| Authors: | Borg Inguanez, Monique Borg, Neville |
| Keywords: | Hematology Machine learning Artificial intelligence -- Medical applications Biometry Medical informatics Florence Nightingale, 1820-1910 |
| Issue Date: | 2025-03 |
| Publisher: | Allied Newspapers Ltd. |
| Citation: | Borg Inguanez, M., & Borg, N. (2025, March 16). The potential of statistical methods in clinical diagnostics. The Sunday Times of Malta, p. 40. |
| Abstract: | In the ever-evolving field of clinical diagnostics, the fusion of disciplines often leads to groundbreaking advancements. As a statistician and a biomedical scientist, we have found a shared interest in the use of statistical tools to unlock their hidden potential in cell classification in clinical diagnostics. The cell’s shape, size, internal structures and distribution often provide early indicators to underlying health conditions. [excerpt] |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/133427 |
| Appears in Collections: | Scholarly Works - FacSciSOR |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| The_potential_of_statistical_methods_in_clinical_diagnostics(2025).pdf | 1.46 MB | Adobe PDF | View/Open |
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