Data harmonization: The hidden prerequisite for reliable AI/ML in life sciences

AI in pharma has the potential to overhaul drug discovery, clinical trials, manufacturing, and marketing by analysing vast datasets to speed up processes, reduce costs, and enable personalised ...

Mapping surprise in the human mind, with help from AI

We build AI systems to mimic the human brain: writing emails, answering questions and predicting what comes next. But new research aims to turn that relationship around—using large language models ...
IEEE

A Self-Adaptive Data Preprocessing Pipeline for Machine Learning: An Automated and Dynamic Approach

Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...
Frontiers

Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data

1 School of Law, Shanxi University of Finance and Economics, Taiyuan, China 2 College of Public Management (Law), Xinjiang Agricultural University, Urumqi, China Background: The advancement of ...
C&EN

Historical Data Mining Deep Dive into Machine Learning-Aided 2D Materials Research in Electrochemical Applications

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...
Scientific Research Publishing

AI-Driven Prediction of Drug Safety in Pregnancy: A Machine Learning Approach ()

1 Department of Neuroscience, Institute of Psychopathology, Rome, Italy. 2 Department of Computer Engineering (AI), University of Genova, Genova, Italy. Evaluating drug safety during pregnancy remains ...