Resource Library

Insight

Enhancing Type 2 Diabetes Prediction with Machine Learning Algorithms


Hypothesis: Compared to traditional statistical methods, machine learning models will significantly improve the accuracy of Type 2 Diabetes prediction.
Insight

Pneumonia biology through the lens of machine learning and AI: current trends and challenges


Hypothesis: Combining digital pathology with spatial transcriptomics/genomics can unveil molecular level insights & help elucidate the host response to pneumonia.
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Improving accuracy of coronary artery disease diagnosis with biomarker-based machine learning models


We hypothesize that by utilizing CatBoost and Convolutional Neural Networks (CNNs), biomarker and electrocardiogram-based machine learning models can predict whether a patient has coronar...
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The role of machine learning-based gene identification in increasing native plant resistance against invasive alien plants.


Research Question: How can machine learning optimize gene selection to increase native plant metabolite production against invasive species?
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A Deep Learning Approach to COVID-19 and Other Infectious Diseases


There are now nearly 3 million confirmed cases of COVID-19 worldwide, causing hundreds of thousands of deaths and economic pitfall. Recently, in a study that has yet to be peer-reviewed, ...
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CRISPR & Its Potential in Helping Blind People See


Introduction Loss of vision can be devastating for the patient and their family. Those gifted with the ability of sight might brush over just how fortunate we are in our ability to perce...