 Connection
Christopher Calderon to Machine Learning
This is a "connection" page, showing publications Christopher Calderon has written about Machine Learning.
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Connection Strength |
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0.534 |
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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.
Score: 0.160
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Calderon CP, Krhac Levacic A, Helbig C, Wuchner K, Menzen T. Combining Machine Learning and Backgrounded Membrane Imaging: A Case Study in Comparing and Classifying Different Types of Biopharmaceutically Relevant Particles. J Pharm Sci. 2022 09; 111(9):2422-2434.
Score: 0.158
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Daniels AL, Calderon CP, Randolph TW. Machine learning and statistical analyses for extracting and characterizing "fingerprints" of antibody aggregation at container interfaces from flow microscopy images. Biotechnol Bioeng. 2020 11; 117(11):3322-3335.
Score: 0.139
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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.
Score: 0.041
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Witeof AE, Daniels AL, Rea LT, Movafaghi S, Kurtz K, Davis M, Eveland RW, Calderon CP, Randolph TW. Machine Learning and Accelerated Stress Approaches to Differentiate Potential Causes of Aggregation in Polyclonal Antibody Formulations During Shipping. J Pharm Sci. 2021 07; 110(7):2743-2752.
Score: 0.036
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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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