Maha Farhat
Biographic Data
| ID | 9073286 |
|---|---|
| NAME | Maha Farhat |
| GIVEN NAMES | Maha |
| FAMILY NAME | Farhat |
| SIGNATURE | FARHAT M |
| AFFILIATIONS | Harvard University |
| ORCID | 0000-0002-3871-5760 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Awareness of management of pulmonary multidrug-resistant tuberculosis (MDR-TB) among private practitioners in suburban areas of Pune city, India
Private practitioners (PPs) play a major role in caring for people with tuberculosis (TB) in India. At the same time, PPs have limited access to continuing medical education and oversight especially with regards to recent changes in the management of multi-drug resistant (MDR- TB). As a part of a larger study aimed at developing an educational tool for improving multidrug-resistant TB management, we conducted a baseline knowledge assessment of MD…
Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning
BACKGROUND: ) whole-genome sequencing (WGS) data, to generate expanded country-level resistance prevalence estimates (antibiograms) using in silico resistance prediction. METHODS: WGS data. We used a validated random forest model to predict phenotypic resistance to 12 drugs and bias-corrected for model performance, outbreak sampling and rifampicin resistance oversampling. Validation leveraged a national DR survey conducted in South Africa. RESULT…
Rethinking global digital health and AI-for-health innovation challenges
Digital health technologies can help tackle challenges in global public health. Digital and AI-for-Health Challenges, controlled events whose goal is to generate solutions to a given problem in a defined period of time, are one way of catalysing innovation. This article proposes an expanded investment framework for Global Health AI and digitalhealth Innovation that goes beyond traditional factors such as return on investment. Instead, we propose …
No prominent works on this page.
Rethinking global digital health and AI-for-health innovation challenges
Digital health technologies can help tackle challenges in global public health. Digital and AI-for-Health Challenges, controlled events whose goal is to generate solutions to a given problem in a defined period of time, are one way of catalysing innovation. This article proposes an expanded investment framework for Global Health AI and digitalhealth Innovation that goes beyond traditional factors such as return on investment. Instead, we propose …
Estimation of country-specific tuberculosis resistance antibiograms using pathogen genomics and machine learning
BACKGROUND: ) whole-genome sequencing (WGS) data, to generate expanded country-level resistance prevalence estimates (antibiograms) using in silico resistance prediction. METHODS: WGS data. We used a validated random forest model to predict phenotypic resistance to 12 drugs and bias-corrected for model performance, outbreak sampling and rifampicin resistance oversampling. Validation leveraged a national DR survey conducted in South Africa. RESULT…
Awareness of management of pulmonary multidrug-resistant tuberculosis (MDR-TB) among private practitioners in suburban areas of Pune city, India
Private practitioners (PPs) play a major role in caring for people with tuberculosis (TB) in India. At the same time, PPs have limited access to continuing medical education and oversight especially with regards to recent changes in the management of multi-drug resistant (MDR- TB). As a part of a larger study aimed at developing an educational tool for improving multidrug-resistant TB management, we conducted a baseline knowledge assessment of MD…
Health care (2 works) · Medicine (2 works) · Pneumonia and Respiratory Infections (2 works) · Public health (2 works) · Tuberculosis (2 works) · Tuberculosis Research and Epidemiology (2 works) · Antibiotic resistance (1 work) · Antibiotic Use and Resistance (1 work) · Antibiotics (1 work) · Artificial Intelligence in Healthcare and Education (1 work)