Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Medicine and Health Sciences
Characterization Of Biological Particles Using An Integrated Hyperspectral Imaging And Machine Learning, Kaeul Lim, Arezoo Ardekani
Characterization Of Biological Particles Using An Integrated Hyperspectral Imaging And Machine Learning, Kaeul Lim, Arezoo Ardekani
Graduate Industrial Research Symposium
Hyperspectral imaging (HSI) is a promising modality in medicine with many potential applications. This study focuses on developing a label-free lipid nanoparticle characterization method using a convolutional neural network (CNN) analysis of HSI images. The HSI data, hypercube, consists of a series of images acquired at different wavelengths for the same field of view, providing continuous spectra information for each pixel. Three distinct liposome samples were collected for analysis. Advanced image preprocessing and classification methods for HSI data were developed to differentiate liposomes based on their material compositions. Our machine learning-based classification method was able to distinguish different liposome types …
Measurement And Imaging Of Intra Matrix Igg Diffusion, Riya Debbarma, Antonio C. F. Dos Santos, Diana Milena Ramiez Gutierrez, Fernanda M. Da Cunha, Michael Ladisch
Measurement And Imaging Of Intra Matrix Igg Diffusion, Riya Debbarma, Antonio C. F. Dos Santos, Diana Milena Ramiez Gutierrez, Fernanda M. Da Cunha, Michael Ladisch
Graduate Industrial Research Symposium
Bovine IgG diffusion measurement by tracking the movement of the protein over time in an in-vitro matrix is motivated by the large number of protein/peptide therapeutics currently under various stages of development in the pharmaceutical industry. Many of these therapeutics are monoclonal antibodies (IgG type proteins) that are candidates for subcutaneous, intra-vitreous and intra-articular administration depending on the target of the therapeutic. Hyaluronic acid (HA) is a major constituent and determines the key attributes of the subcutaneous environment, vitreous humor of the eye and synovial fluid of the knee joint. HA exhibits varying molecular weight at these anatomic locations thereby …
Sepsis Treatment: Reinforced Sequential Decision-Making For Saving Lives, Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
Sepsis Treatment: Reinforced Sequential Decision-Making For Saving Lives, Dipesh Tamboli, Jiayu Chen, Kiran Pranesh Jotheeswaran, Denny Yu, Vaneet Aggarwal
Graduate Industrial Research Symposium
Sepsis, a life-threatening condition triggered by the body's exaggerated response to infection, demands urgent intervention to prevent severe complications. Existing machine learning methods for managing sepsis struggle in offline scenarios, exhibiting suboptimal performance with survival rates below 50%. Our project introduces the "PosNegDM: Reinforcement Learning with Positive and Negative Demonstrations for Sequential Decision-Making" framework utilizing an innovative transformer-based model and a feedback reinforcer to replicate expert actions while considering individual patient characteristics. A mortality classifier with 96.7% accuracy guides treatment decisions towards positive outcomes. The PosNegDM framework significantly improves patient survival, saving 97.39% of patients and outperforming established machine learning …