SAMA: Spatially-Aware Multimodal Network with Attention

Lung cancer is the deadliest cancer worldwide. This fact has led to increased development of medical and computational methods to improve early diagnosis, aiming at reducing its fatality rate. Radiologists conduct lung cancer screening and diagnosis by localizing and characterizing pathologies. Therefore, there is an inherent relationship between visual clinical...

2021, Oct

Smart Pooling: AI-powered COVID-19 Informative Group Testing

Massive molecular testing for COVID-19 has been pointed out as fundamental to moderate the spread of the pandemic. Pooling methods can enhance testing efficiency, but they are viable only at low incidences of the disease. We propose Smart Pooling, a machine learning method that uses clinical and sociodemographic data from...

2020, Jul