Advanced modern medicine often relies on costly techniques that put it out of reach for many. Better preventive care is one of the best ways to reduce these costs, and AI is starting to make this happen, argues digital health specialist and entrepreneur Eduard Musinschi.

The study of population health for identifying and understanding larger populations as well as at-risk sub-populations involves huge amounts of data. This means that AI plays an increasingly important role, argues Dr Jennifer Dunphy, senior VP for a top US physician association.

GenAI has grabbed many headlines lately, though the tech is not monolithic. There are different types of frameworks and sub technologies that fall under the GenAI umbrella, with some being more impactful than others, argues Moh Noori, CEO and founder of ScriptChain Health.

There is much concern about students’ growing reliance on generative AI to help them with homework and overall learning, but many business schools are showing how the benefits may outweigh the drawbacks, argue Lily Bi of AACSB International and Alain Goudey of the NEOMA Business School.

Single-cell RNA sequencing (scRNA-seq) is an advanced technique for measuring the transcriptome of every cell. After extracting scRNA-seq data, computational methods then detect cell types for each extracted sequence. In this article, Dr Sara Moein explains the role of machine learning in cell type identification.