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Identification of DNA Methylation Markers Using Feature Selection and Deep Learning
Current tools used to gather DNA methylation data can now retrieve well over 850,000 unique methylation values per sample. As these datasets tend to be too large for a human to reasonably parse through by themselves, ...
Optimizing Deep Learning Architecture for Remote Sensing Image Analysis
Deep Learning tools have become very efficient in high-resolution image analysis compared to traditional classification models. One such example is the implementation of semantic segmentation using a Convolutional Neural ...
A Deep Learning Model for Pancreatic Ductal Adenocarcinoma Chemotherapy Outcome Prediction
Pancreatic Ductal Adenocarcinoma (PDAC) is an aggressive abdominal malignancy, with an overall 8.5% 5-year survival rate. PDAC is often detected too late for surgical resection and associated with resistance to chemotherapy ...
Detection of Inferior Vena Cava Filters on CT Scans Using an Artificial Intelligence Algorithm
The IVC (inferior vena cava) is a large blood vessel that travels through the abdomen. An IVC filter is a spider-like flexible metal object which is compressed to sit inside of the IVC. IVC filters catch blood clots traveling ...
A Comprehensive Review of Artificial Intelligence Used to Combat COVID-19
Coronavirus disease (COVID-19) has had a significant impact on global health since the start of the pandemic in 2019. Over 422 million people have been infected globally and 5.8 million have died because of the disease. ...
Comparison of Pathways and Detection Strategies for Pancreatic Ductal Adenocarcinoma (PDAC) Using Genetically Engineered Mouse Model (GEMM)
Pancreatic ductal adenocarcinoma (PDAC) is a deadly, invasive pancreatic cancer with 5-year survival for patients close to 7.1%. The difficulty of researching PDAC comes from a variety of factors that lead to its development, ...