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Connection

Christopher Calderon to Drug Compounding

This is a "connection" page, showing publications Christopher Calderon has written about Drug Compounding.

 
Connection Strength
 
 
 
0.433
 
  1. Calderon CP, Ripple DC, Srinivasan C, Ma Y, Carrier MJ, Randolph TW, O'Connor TF. Testing Precision Limits of Neural Network-Based Quality Control Metrics in High-Throughput Digital Microscopy. Pharm Res. 2022 Feb; 39(2):263-279.
    View in: PubMed
    Score: 0.191
  2. Calderon CP, Daniels AL, Randolph TW. Deep Convolutional Neural Network Analysis of Flow Imaging Microscopy Data to Classify Subvisible Particles in Protein Formulations. J Pharm Sci. 2018 04; 107(4):999-1008.
    View in: PubMed
    Score: 0.143
  3. Greenblott DN, Zhang J, Calderon CP, Randolph TW. Machine learning approaches to root cause analysis, characterization, and monitoring of subvisible particles in monoclonal antibody formulations. Biotechnol Bioeng. 2022 12; 119(12):3596-3611.
    View in: PubMed
    Score: 0.050
  4. Thite NG, Ghazvini S, Wallace N, Feldman N, Calderon CP, Randolph TW. Machine Learning Analysis Provides Insight into Mechanisms of Protein Particle Formation Inside Containers During Mechanical Agitation. J Pharm Sci. 2022 10; 111(10):2730-2744.
    View in: PubMed
    Score: 0.049
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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