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Full-Text Articles in Other Medical Sciences
A Machine Learning Approach For Predicting Clinical Trial Patient Enrollment In Drug Development Portfolio Demand Planning, Ahmed Shoieb
A Machine Learning Approach For Predicting Clinical Trial Patient Enrollment In Drug Development Portfolio Demand Planning, Ahmed Shoieb
Masters Theses
One of the biggest challenges the clinical research industry currently faces is the accurate forecasting of patient enrollment (namely if and when a clinical trial will achieve full enrollment), as the stochastic behavior of enrollment can significantly contribute to delays in the development of new drugs, increases in duration and costs of clinical trials, and the over- or under- estimation of clinical supply. This study proposes a Machine Learning model using a Fully Convolutional Network (FCN) that is trained on a dataset of 100,000 patient enrollment data points including patient age, patient gender, patient disease, investigational product, study phase, blinded …
One In Every Twenty-Six, Rey'na Riggans
One In Every Twenty-Six, Rey'na Riggans
Capstone Showcase
There is a disorder that is rather common within the world and yet is not well known. It is a something that affects one in every twenty-six individuals. It is called epilepsy. Epilepsy is a neurological disorder in which a person to experience bursts of random electrical activity within their brains, these bursts being called "seizures." This article discusses this disorder and goes into detail about the forms of it, procedures that are done to try and help those living with epilepsy, and artwork that is inspired by this disorder.