Volume 12, Issue 1 (6-2025)
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- Deep learning techniques and heuristic algorithms are innovative methods for the early detection of liver disease.
- Enhanced prediction accuracy through deep learning and heuristic algorithms enables doctors to treat patients more swiftly.
- The study utilizes a unique approach to the analysis of complex health data.
- Early detection decreases the risk of severe liver issues and results in improved patient outcomes.
- These new techniques increase the reliability of liver disease diagnoses.
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- The spatial distribution pattern of hypertensive patients showed a clustered formation.
- The disease spreads from the central and northern areas toward the southern and western regions.
- Women aged 56–65 represented the largest share of hypertension cases.
- Hypertension cases increased during the COVID-19 pandemic.
- Many patients also had diabetes or obesity in addition to high blood pressure.
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- A virtual therapy platform was developed to improve mental trauma recovery.
- Online therapy reduced stress and trauma symptoms in participants.
- Internet-based access made treatment more convenient and widely available.
- Guided processing of painful memories contributed to improved emotional balance.
- This innovative approach offers promise for safe and accessible mental health care.
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- Feedforward optimized neural networks combine neural networks with quantum-inspired optimization.
- This method effectively detects small and complex brain tumors with high accuracy.
- This method generates clear heatmaps to highlight tumor regions.
- This method works efficiently on standard computers and is ideal for small clinics.
- This method reduces diagnosis time and aids faster treatment decisions.
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