Sickle cell disease
- Sickle cell disease (SCD) and β-thalassemia are common monogenic diseases that disproportionately affect low- and middle-income countries, requiring low-cost and accurate diagnostic tools.
- Inexpensive sickling test was augmented using automated microscopy and machine learning to detect SCD, trait conditions (SCT and β-thalassemia trait), and normal individuals.
- Open-access dataset created with over 300,000 images containing 1.5 trillion segmented cells from 138 individuals in Canada and Nepal
Tuberculosis - Raman microscopy
- Rapid, culture-free method for TB drug susceptibility testing using Raman spectroscopy and machine learning, achieving >98% classification accuracy on dried samples.
- Approach drastically reduces testing time compared to traditional methods that require 40+ days for culturing, providing critical information for effective patient treatment and preventing antimicrobial resistance.
- Low-cost, portable Raman microscope (<$5,000) that enables few-to-single-cell drug susceptibility testing in resource-limited settings, making this technology accessible for global TB control efforts.
Tuberculosis - fluorescence microscopy
Histology and cytology
