AIMC Topic: Inclusion Bodies

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Smart process development: Application of machine-learning and integrated process modeling for inclusion body purification processes.

Biotechnology progress Mar 16, 2022
The development of a biopharmaceutical production process usually occurs sequentially, and tedious optimization of each individual unit operation is very time-consuming. Here, the conditions established as optimal for one-step serve as input for the ...
Machine Learning Algorithms Chromatography Inclusion Bodies
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Machine learning-based decision tree classifier for the diagnosis of progressive supranuclear palsy and corticobasal degeneration.

Neuropathology and applied neurobiology Apr 7, 2021
AIMS: This study aimed to clarify the different topographical distribution of tau pathology between progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) and establish a machine learning-based decision tree classifier.
Humans Machine Learning Brain Female Aged Aged, 80 and over Male Middle Aged Decision Trees Diagnosis, Differential tau Proteins Neurofibrillary Tangles Supranuclear Palsy, Progressive Nerve Degeneration Inclusion Bodies Corticobasal Degeneration
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Sequential classification system for recognition of malaria infection using peripheral blood cell images.

Journal of clinical pathology Mar 16, 2020
AIMS: Morphological recognition of red blood cells infected with malaria parasites is an important task in the laboratory practice. Nowadays, there is a lack of specific automated systems able to differentiate malaria with respect to other red blood ...
Humans Machine Learning Malaria Microscopy Image Interpretation, Computer-Assisted Erythrocytes Inclusion Bodies
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