December 7, 2020

What are the significant medical data collection sources in healthcare sectors?

Brief: Decision-making should be based on facts, irrespective of industry. The prominence of Medical data collection service and its analysis leveraging Big Data technologies has validated […]
December 2, 2020

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

Brief: Plentiful amassing of advanced histopathological pictures has prompted the expanded interest for their examination; for example, PC supported determination utilizing AI procedures. Nonetheless, computerized neurotic […]
November 30, 2020

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

Brief: The medical sector is different from other business industries. It is on high priority sector, and people expect the highest level of care and services […]
November 25, 2020

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

In-Brief: Introduction to Data Collection: A Messy Problem: Electronic health records capture and manage the information collected during patient consultations. Personal health records and claims, patient […]
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 Over a decade, the “Big data” showcases the rapid increase in variety and volumeof information, particularly in medical research. As scientists, rapidly generate, store and […]
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 In a Systematic Review Writing, the network analyst is a bioinformatics tool designed to perform efficient PPI network analysis for data generated from gene expression […]
November 5, 2020

An overview of fixed effects assumptions for meta-analysis

In-Brief: Introduction In statistical analysis, a fixed-effects model is a statistical model in which the model parameters are fixed quantities. It is in opposite to random-effects modelsin which all or some of the model […]