Abstract: This disclosure provides a technology for producing cells and cell lines that are capable of manufacturing a recombinant protein more efficiently and in a more cost effective manner. Cells are engineered or fused together to make a population of cell hybrids. The hybrids are then enriched for a mitochondria phenotype that supports and enhances protein synthesis and secretion. The phenotype may include a higher content of mitochondria per cell, a high or low cellular content of reactive oxygen species (ROS), and/or a high or low mitochondria membrane potential. The hybrids may also be enriched for a high content of endoplasmic reticulum. Producer cell lines obtained in this fashion may produce as much as 10 or 15 times the amount of protein per cell than the parental cell line. The producer cells can be used for efficient manufacture of recombinant proteins suitable for use in any industrial process, such as the making of pharmaceutical agents and food ingredients.

Abstract: The present disclosure is for a system and a method for artificial intelligence (AI) based review of radiologic images as they are being read by a radiologist. The AI review is performed through the use of screen sharing and screen capture approaches allowing an AI model to analyze images without direct access to the raw image files. The AI review may compare user documented findings with AI model-based findings in order to identify discrepancies between the two. The discrepancies can be used as feedback for retraining the model and/or as feedback to the user to aid in education or track and/or improve an individual's review characteristics.