Biomedical Informatics Commons^™

Agentic Scientific Machine Learning For Autonomous Model Discovery In Systems Pharmacology, Nazanin Ahmadi, George Karniadakis

Biology and Medicine Through Mathematics Conference

No abstract provided.

Enhancing Clinical Trial Matching In Molecular Diagnostics: Using Natural Language Processing And Clustering Approaches In Hematological Malignancies, Gillian Fanning

Theses and Dissertations

Clinical trial matching is a critical component of personalized medicine, particularly in the management of hematologic malignancies. At Virginia Commonwealth University (VCU) Health, the Molecular Diagnostics (MDX) Lab produces somatic variant reports and recommends clinical trials based on the presence of clinically significant mutations. However, the current manual trial recommendation process is time-intensive and lacks scalability.

This study introduces a computational framework to streamline and standardize clinical trial matching using natural language processing (NLP) and unsupervised clustering. Trial brief descriptions were analyzed to extract frequent terms, and trials were grouped based on term similarity using joint dimensionality reduction and clustering. …

Respire: A Technological Tool To Navigate Mechanical Ventilation In Patient Care And Educational Settings, Swara Chokshi

UROP Posters

Around the world, more than 20 million patients rely on mechanical ventilators annually; however, not enough individuals understand how to operate ventilators, posing a risk to the health of many. Moreover, it is increasingly difficult to determine optimal mechanical ventilator settings in a timely fashion, especially in low-resource countries and critical care areas. Respire is a mobile application that bridges this gap in a twofold manner: it is designed to assist healthcare workers around the world navigate and use mechanical ventilators effectively as well as educate the general public about mechanical ventilation. Respire offers a user-friendly yet educational interface that …