Connection

Contact Us
If you have any questions or feedback please contact us.

Search Results to Theodore W Randolph

This is a "connection" page, showing the details of why an item matched the keywords from your search.

Search Results

Randolph, Theodore

One or more keywords matched the following items that are connected to Randolph, Theodore

Item Type	Name
Concept	Supervised Machine Learning
Concept	Unsupervised Machine Learning
Concept	Machine Learning
Academic Article	Machine learning and statistical analyses for extracting and characterizing "fingerprints" of antibody aggregation at container interfaces from flow microscopy images.
Academic Article	Machine Learning and Accelerated Stress Approaches to Differentiate Potential Causes of Aggregation in Polyclonal Antibody Formulations During Shipping.
Grant	A New Tool to Rapidly Diagnose Sepsis using Flow Imaging Microscopy and Machine Learning
Academic Article	Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation.
Academic Article	Machine learning approaches to root cause analysis, characterization, and monitoring of subvisible particles in monoclonal antibody formulations.
Academic Article	Stain-Free Approach to Determine and Monitor Cell Heath Using Supervised and Unsupervised Image-Based Deep Learning.
Academic Article	Assessing subvisible particle risks in monoclonal antibodies: insights from quartz crystal microbalance with dissipation, machine learning, and in silico analysis.
Academic Article	Representative training data sets are critical for accurate machine-learning classification of microscopy images of particles formed by lipase-catalyzed polysorbate hydrolysis.
Academic Article	Supervised and unsupervised machine learning approaches for monitoring subvisible particles within an aluminum-salt adjuvanted vaccine formulation.
Academic Article	Features in Backgrounds of Microscopy Images Introduce Biases in Machine Learning Analyses.
Academic Article	Unsupervised Machine Learning-Based Process Analytical Tools for Near Real-Time Cell Morphology Analysis During CAR-T Cell Manufacturing.

Search Criteria

Machine Learning