EMBO Press

Machine learning-guided deconvolution of plasma protein levels

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...
IEEE

Integrating Machine Learning into supervisory control of power systems for minimizing line losses after abnormal state detection

Abstract: A novel framework for integrating Machine Learning (ML) algorithms into the supervisory control of multi-machine power systems is proposed. In particular, ML is used to identify the ...
SciTech Daily

AI Cracks the Code for the Next Generation of Solar Power

Formamidinium lead iodide is considered one of the best-performing materials in the halide perovskite group, since it has promising properties for future solar cell technologies. New findings from ...
IEEE

Crystal’s Self-Alignment for High Power Laser Facility Based on Machine Learning

Abstract: Online alignment of harmonic conversion crystal in high-power laser facilities is a challenging and labor-intensive task. An automated technique for self-alignment of crystals on these ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...