The Engineer That Teaches Machines to Learn Healthcare

Naga Sai Mrunal transforms healthcare by using AI and machine learning to make EDI and prior authorization systems predictive ...
Hub

A trailblazing researcher describes her path to AI and health care

A conversation with the trailblazing computer scientist, who is on a mission to augment human care with the latest in AI and ...
Phys.org

Between rain and snow, machine learning finds nine precipitation types

In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study distinguished nine distinct precipitation types—varieties of rain, snow and mixed-phase ...
WVEC

Tunnel boring machine 'Mary' reaches another milestone in HRBT expansion

NORFOLK, Va. — The U.S. Secretary of Transportation joined Governor Glenn Youngkin on Wednesday to mark a milestone for the Hampton Roads Bridge-Tunnel Expansion Project. Mary, the massive tunnel ...
GitHub

QAMP Project Proposal: Q-UCSpec — Integrating TDDFT Spectroscopy and Quantum Machine Learning for Photonic Upconversion Materials

Upconversion (UC) materials, such as Yb/Er-doped fluorides and oxides, are widely applied in bioimaging, lighting, and quantum photonics. However, interpreting UC spectra to extract material ...
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 ...
IEEE

Affordable ECG Sensing: A Machine Learning-Enhanced Framework for Scalable Human-Machine Interaction in Telehealth

Abstract: Affordable and accurate cardiovascular monitoring is a pervasive issue in resource-constrained and rural settings, where sophisticated clinical-grade electrocardiogram (ECG) devices are ...
Financial IT

Project Nemo Demands Better Banking for Adults with a Learning Disability

Project Nemo’s work is a hugely important step towards ensuring the 1.5 million people with a learning disability across the UK can make their financial choices safely and independently.” This Project ...
IEEE

Machine Learning based approach for Myocardial Infarction Prediction using real time ECG Signals

Abstract: This project focuses on utilizing machine learning techniques to identify and detect abnormal cardiac conditions through the analysis of Electrocardiogram (ECG) signals. With cardiovascular ...
The Lancet

Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach

ECG-based machine learning offers a promising, interpretable approach for liver disease detection, particularly in resource-limited settings. By revealing clinically relevant biomarkers, this method ...
Drexel University

How an Experiential Learning Research Project Led to a Full-Time Job

After graduating this year from Drexel University with a master’s degree in data science, Lauren Miller is now working as a junior data engineer at Aramark — but it’s not her first experience with the ...