Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

A skin cancer diagnosis can seem to arrive out of nowhere. But buried in years of health records, prescription histories, and ...

A CpG-based methylation signature combined with ridge regression allows highly accurate multicancer classification in ...

Analysis of the 191 samples shows that 55 percent of groundwater falls within low to no restriction categories for irrigation ...

Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you ...

General Reasoning just gave frontier AI its worst report card yet. Eight top models, including Claude, Grok, Gemini, and ...

A new satellite-based analytical framework enables accurate estimation of crop sowing and emergence dates at the field scale.

This study develops a high-accuracy machine-learning framework to predict and optimize metal-doped MnO2 cathodes for aqueous zinc-ion batteries, validated through experiments and DFT, enabling rapid ...

For decades, businesses have relied on spreadsheets and manual data entry to forecast and manage cash flow. These traditional ...