Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
GitHub

An end-to-end Machine Learning project that predicts the likelihood of heart disease using classification algorithms, data preprocessing, feature engineering, model evaluation ...

An end-to-end Machine Learning project that predicts the likelihood of heart disease using patient health parameters. The project covers the complete machine learning workflow including data ...

Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
TCTMD

AI-ECG Models Detect Structural Heart Disease, Identify At-Risk Patients

The tools may help address underdiagnosis in this area, though there is still room for improvement in screening performance.
Medscape

Advanced Machine Learning Model Predicts Onset of Epilepsy and Depression

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
IEEE

A Granular Description of ECG Signals

Abstract: In this paper, we develop a general framework of a granular representation of ECG signals. The crux of the approach lies in the development and ongoing processing realized in the setting of ...
GitHub

hrmadalambika2005-dev/heart-disease-detection-using-ecg-signals

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...