IEEE

Heart Disease Prediction System using Ensemble Machine Learning Technique

Abstract: The traditional approach to prediction of heart disease using a limited set of essential physical signs from repetitive inspections is inadequate. Also, manual inspection and analysis of ...
Frontiers

Integrating bioinformatics and machine learning analyses to identify immune-related secretory proteins and therapeutic small-molecule drugs in calcific aortic valve disease ...

Introduction: Type 2 diabetes mellitus (T2DM) is a globally prevalent metabolic disease, and emerging studies have revealed its strong association with calcific aortic valve disease (CAVD). Chronic ...
BioPharma Dive

Venture firms pour $101M into a biotech using the brain to fix the immune system

Having closed a nine-figure fundraising round, a newly launched biotechnology company hopes to rewire the immune system with drugs aimed at a special kind of nerve cell. Nilo Therapeutics debuted ...
Frontiers

The value of cough sound monitoring via an audio-enabled smartwatch for OSA screening in COPD patients: a cross-sectional exploratory study

Department of Respiratory and Critical Care Medicine, Peking University First Hospital, Beijing, China Objective: The purpose of this study is to explore the value of cough sounds and forced ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

Cancer, Alzheimer’s, and other diseases follow a pathway in the human body. It starts at the molecular and cellular levels, and through a series of complex interactions can lead to the development and ...