The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...
IEEE

Design and Optimization of a High Linearity On-Chip Sinusoidal Current Generator for Bioimpedance Measurements Using Direct Digital Synthesis

Abstract: This paper presents an optimization methodology to enhance the linearity of direct digital synthesis (DDS)-based on-chip sinusoidal current generators (SCGs) for bioimpedance measurements.
GitHub

R-Studio Professional Data Recovery

What is R-Studio Recovery Software? R-Studio recovery software is a Windows-focused data restoration platform built around advanced R Studio data recovery technology. The environment integrates deep R ...
The Verge

Google will let users call stores, browse products, and check out using AI

There have never been more options for things to buy. Google is betting AI is how shoppers will make decisions. There have never been more options for things to buy. Google is betting AI is how ...
IEEE

Modern Agriculture: A Review of Emerging Crop Yield Prediction Models Using Machine Learning

Abstract: Accurately predicting crop yields is a very critical component of global food safety and agricultural efficiency. Such is a multifaceted approach toward crop yield prediction explored in the ...
manilatimes

Complete Tumor Regressions Observed in Preclinical Models with Co-administration of Cyncado’s A2B and A2A Receptor Antagonists and Cancer Vaccines

Data from studies conducted by investigators at the National Cancer Institute at NCI laboratories, part of a multi-year research effort, will be presented at SITC Dover, DE, Nov. 07, 2025 (GLOBE ...