AIMC Topic: Machine Learning

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Use of artificial intelligence and radio genomics in neuroradiology and the future of brain tumour imaging and surgical planning in low- and middleincome countries.

JPMA. The Journal of the Pakistan Medical Association
Brain tumour diagnosis involves assessing various radiological and histopathological parameters. Imaging modalities are an excellent resource for disease monitoring. However, manual inspection of imaging is laborious, and performance varies depending...

An innovative hybrid modeling approach for simultaneous prediction of cell culture process dynamics and product quality.

Biotechnology journal
The use of hybrid models is extensively described in the literature to predict the process evolution in cell cultures. These models combine mechanistic and machine learning methods, allowing the prediction of complex process behavior, in the presence...

Understanding gut microbiome-based machine learning platforms: A review on therapeutic approaches using deep learning.

Chemical biology & drug design
Human beings possess trillions of microbial cells in a symbiotic relationship. This relationship benefits both partners for a long time. The gut microbiota helps in many bodily functions from harvesting energy from digested food to strengthening bioc...

Machine Learning in Imaging: What is JASE Looking For?

Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography

Pharmaceutical Decision Support System Using Machine Learning to Analyze and Limit Drug-Related Problems in Hospitals.

Studies in health technology and informatics
The health product circuit corresponds to the chain of steps that a medicine goes through in hospital, from prescription to administration. The safety and regulation of all the stages of this circuit are major issues to ensure the safety and protect ...