Nanowerk

AI blood test detects early pancreatic cancer with over 90 percent accuracy

PanMETAI combines AI and NMR metabolomics to detect early-stage pancreatic cancer from a blood sample, achieving 93 percent ...
IEEE

Enhancement of Scholarship Decisions Precision Using Support Vector Machine Algorithm

Abstract: With the increasing number of scholarship applicants, there is a growing need for intelligent systems that support fair and efficient decision-making. This study aims to enhance the ...
IEEE

Fault Diagnosis and Prediction of Electric Vehicle Drive using Support Vector Machine Algorithm

Preventive identification of Electric Vehicle (EV) drive faults always play a vital role in machine condition monitoring. Further, Machine Learning (ML) algorithms are becoming essential for ensuring ...
Devdiscourse

Next-gen AI biosensors promise faster, smarter pandemic surveillance

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest ...

Machine Learning for C++ developers: DMLLib and VisualDML

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
STAT

Same blood test, different results: Why isn’t this common thyroid screening reliable?

Bonsack is a patient advocate based in Moab, Utah. In the midst of a health crisis a few years ago, doctors repeatedly checked my thyroid-stimulating hormone (TSH), revealing an odd pattern: My test ...