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Research studies

Women’s Comprehensive Health conducts a range of impactful studies to advance women’s well-being. Key projects include Maternal Health Trends 2024, examining prenatal care accessibility in underserved areas, and AI-Powered Diagnostic Accuracy Study, improving early detection of women’s health disorders using machine learning.

Additional research focuses on Urban Air Quality & Respiratory Impact, Child Nutrition & Growth Patterns, and Telehealth Adoption Barriers, all aimed at delivering data-driven solutions for better women’s healthcare worldwide.

Publications

Research Studies

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Navigating the Enigma of Laboratory-Based TB Diagnosis Using an Algorithm-Based Approach

We are developing and evaluating a diagnostic algorithm that integrates rapid molecular testing, culture methods, and adjunct biomarker panels to improve the speed and accuracy of tuberculosis (TB) diagnosis in resource-constrained public health settings.

Research & Innovation Womens Health
Lead Investigator: Dr. Aisha Kapoor, MD, PhD.
Project Duration: Jan 2024 – Dec 2024

Navigating the Enigma of Laboratory-Based TB Diagnosis Using an Algorithm-Based Approach

We are developing and evaluating a diagnostic algorithm that integrates rapid molecular testing, culture methods, and adjunct biomarker panels to improve the speed and accuracy of tuberculosis (TB) diagnosis in resource-constrained public health settings.

Research & Innovation Womens Health
Lead Investigator: Dr. Aisha Kapoor, MD, PhD.
Project Duration: Jan 2024 – Dec 2024

Navigating the Enigma of Laboratory-Based TB Diagnosis Using an Algorithm-Based Approach

We are developing and evaluating a diagnostic algorithm that integrates rapid molecular testing, culture methods, and adjunct biomarker panels to improve the speed and accuracy of tuberculosis (TB) diagnosis in resource-constrained public health settings.

Research & Innovation Womens Health
Lead Investigator: Dr. Aisha Kapoor, MD, PhD.
Project Duration: Jan 2024 – Dec 2024

Navigating the Enigma of Laboratory-Based TB Diagnosis Using an Algorithm-Based Approach

We are developing and evaluating a diagnostic algorithm that integrates rapid molecular testing, culture methods, and adjunct biomarker panels to improve the speed and accuracy of tuberculosis (TB) diagnosis in resource-constrained public health settings.

Research & Innovation Womens Health
Lead Investigator: Dr. Aisha Kapoor, MD, PhD.
Project Duration: Jan 2024 – Dec 2024

Navigating the Enigma of Laboratory-Based TB Diagnosis Using an Algorithm-Based Approach

We are developing and evaluating a diagnostic algorithm that integrates rapid molecular testing, culture methods, and adjunct biomarker panels to improve the speed and accuracy of tuberculosis (TB) diagnosis in resource-constrained public health settings.

Research & Innovation Womens Health
Lead Investigator: Dr. Aisha Kapoor, MD, PhD.
Project Duration: Jan 2024 – Dec 2024

Navigating the Enigma of Laboratory-Based TB Diagnosis Using an Algorithm-Based Approach

We are developing and evaluating a diagnostic algorithm that integrates rapid molecular testing, culture methods, and adjunct biomarker panels to improve the speed and accuracy of tuberculosis (TB) diagnosis in resource-constrained public health settings.

Research & Innovation Womens Health
Lead Investigator: Dr. Aisha Kapoor, MD, PhD.
Project Duration: Jan 2024 – Dec 2024

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