Resilience is recovering soon from a disaster or calamity. It is bouncing back quickly or refusing to remain falling. The health system in developing countries is still struggling with issues of universal coverage and sustainable and resilient health systems. There is a gap in evidence regarding strategies to build resilient health systems, particularly in developing countries.
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Journal of Public Health Hygiene and Safety
The Burden of Empirical Therapy: Analyzing the Predominance of Broad-Spectrum Antibiotic Usage in Lower Respiratory Tract Infections
Background: Lower respiratory tract infections (LRTIs) frequently require immediate empirical antibiotic therapy due to di
agnostic delays and clinical severity. Empirical regimens commonly rely on broad-spectrum agents, which can increase selec
tive pressure for antimicrobial resistance.
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Journal of Antibiotics Research
Obesity and the Risk of Cognitive Decline and Dementia: Implications and Prevention Strategies
The global rise in obesity presents a significant public health challenge, with implications extending beyond metabolic disor
ders to include an increased risk of cognitive decline and dementia.
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Journal of Nutrition and Health Sciences
Interpretable Deep Learning for Ovarian Cancer Subtype Classification Using Histopathology Images
Ovarian cancer is a histologically heterogeneous malignancy in which accurate subtype classification is essential for prognosis and treatment selection.
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Journal of Gynecology Research
Interpretable Deep Learning for Ovarian Cancer Subtype Classification Using Histopathology Images
Resilience is recovering soon from a disaster or calamity. It is bouncing back quickly or refusing to remain falling. The health system in developing countries is still struggling with issues of universal coverage and sustainable and resilient health systems. There is a gap in evidence regarding strategies to build resilient health systems, particularly in developing countries.
Interpretable Deep Learning for Ovarian Cancer Subtype Classification Using Histopathology Images
Background: Lower respiratory tract infections (LRTIs) frequently require immediate empirical antibiotic therapy due to di
agnostic delays and clinical severity. Empirical regimens commonly rely on broad-spectrum agents, which can increase selec
tive pressure for antimicrobial resistance.
Interpretable Deep Learning for Ovarian Cancer Subtype Classification Using Histopathology Images
The global rise in obesity presents a significant public health challenge, with implications extending beyond metabolic disor
ders to include an increased risk of cognitive decline and dementia.
Interpretable Deep Learning for Ovarian Cancer Subtype Classification Using Histopathology Images
Ovarian cancer is a histologically heterogeneous malignancy in which accurate subtype classification is essential for prognosis and treatment selection.
