Hoan Ngo Laboratory
Precision and Accessible Diagnostics and AI for Health

Explainable AI for Thyroid Cancer Detection using Smartphone-captured Cytopathology Images and Multi-Instance Learning

We developed an explainable AI for thyroid cancer detection in LMICs using smartphone-captured cytopathology images and multi-instance learning.

Rapid and portable quantification of HIV RNA via a smartphone-enabled digital CRISPR device and deep learning

We developed a device based on smartphone and Deep Learning for rapid quantification of HIV RNA.

Ensemble learning using traditional machine learning and deep neural network for diagnosis of Alzheimer’s disease

We developed an ensemble AI that can detect Alzheimer's disease from brain MRI images.

Automatic Acne Object Detection and Acne Severity Grading Using Smartphone Images and Artificial Intelligence

We developed an AI that can detect acne object and grade acne severity using smartphone-captured images.

Transfer learning with class-weighted and focal loss function for automatic skin cancer classification

We developed an AI that can effectively and automatically classify skin lesions into one of the seven classes: (1) Actinic Keratoses, (2) Basal Cell Carcinoma, (3) Benign Keratosis, (4) Dermatofibroma, (5) Melanocytic nevi, (6) Melanoma, (7) Vascular Skin Lesion..