Pubrica

December 2, 2020

How is machine learning significant to computational pathology in the Pharmaceutical industries?

How is machine learning significant to computational pathology in the Pharmaceutical industries? No results See all results High-Impact Journals Introduction Machine learning in computational pathology: Conclusion […]
November 30, 2020

Deep learning over machine learning: Mention the challenges and difficulties in the medical imaging process and research issues

Brief: Introduction: An exact finding of diseases relies on picture obtaining and picture translation. Vision bringing gadgets has improved generously for Literature Review Help over the […]
November 25, 2020

What are the existing challenges in the medical data collection processes?

existing challenges in the medical data collection process No results See all results High-Impact Journals Introduction to Data Collection: A Messy Problem Shattered Data Ever-changing Data […]
November 25, 2020

An overview of Evidence-based medicine vs precision medicine in comparison with their limitations

In-Brief: Introduction: Evidence-based medicine is widely promoted for decision-making in health care and is associated with improved patient outcomes. Critics have suggested that evidence-based medicine focuses […]
November 13, 2020

What is big data? Discuss the interpretation of artificial intelligence/ machine learning in big data analytics?

In-Brief Introducing big data Advancements in digital technology have created to develop the ability to multiplex measurements on a single sample. It may provide in hundreds, […]
November 13, 2020

List out the challenges of machine learning/ artificial intelligence for delivering clinical impact

In-Brief Introduction A rapidly increasing number of academic research studies have demonstrated the various applications of AI in healthcare, including algorithms for interpreting chest radiographs detecting […]
November 9, 2020

A systematic review of network analyst- a web based bioinformatics tool for integrative visualization of expression data

In-Brief Introduction Network analyst is a web based visual analytics tool for comprehensive profiling, Meta analysis and system-level interpretation of gene expression data which is based […]
November 5, 2020

An overview of fixed effects assumptions for meta-analysis

An overview of fixed effects assumptions for meta-analysis No results See all results High-Impact Journals Introduction Qualitative description of fixed-effect regression The importance of fixed effects […]
October 30, 2020

Meta-analysis of Convolutional neural networks for radiological images

In-Brief             Deep Learning is an inevitable branch of Artificial Intelligence technology. In which, Convolutional Neural Network is a modern approach to visualize the images with […]