Generative Artificial Intelligence vs. Transformer and Benchmarking Against Deep/Machine Learning: Classification and Scientific Validation of Heart Failure Patients Using Women’s Transcriptomic Gene Data
The wBio-GenAI architecture captures the complex transcriptomic patterns, improving HF classification in women and advancing women-specific precision cardiovascular care.
Authors
- Ekta Tiwari (ORCID: https://orcid.org/0000-0003-3400-343X)
- Dipti Shrimankar
- Krish Chaudhary
- Jasjit S. Suri
- Luca Saba
Institutions
- Idaho State University (US)
- Visvesvaraya National Institute of Technology (IN)
- University of Cagliari (IT)
- Symbiosis International University (IN)
- Minneapolis Business College (US)
- Roshydromet (RU)
- Sikkim Manipal University (IN)
Publication Details
- Journal
- Diagnostics
- Published
- 2026-04-01
- DOI
- https://doi.org/10.3390/diagnostics16071052
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00