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Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

For the past 25 years, the Fed has been focusing on the PCE, and their preferred component is Core PCE, which, without food ...

The message from leading indicators is of a broad-based and strengthening recovery in the global economy at the start of 2026, pointing to at least 6 months of robust coincident data ahead.

Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.

A recent analysis of thousands of social media posts reveals that losing a job alters the narrative landscape of a person’s ...

This study proposes a cross-species transcriptomic framework to predict vaccine reactogenicity, with implications for preclinical vaccine safety assessment. The findings show that mouse muscle ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Discover how proteomics data analysis and bioinformatics tools enhance mass spectrometry workflows for robust findings.

Mount Sinai experts to present new analysis on AI models that could predict congenital heart defects and placenta accreta spectrum at the 2026 SMFM Annual Pregnancy Meeting ...

Explore technical features and comparative strengths of MaxQuant, Proteome Discoverer, FragPipe, and DIA-NN workflows.

Driven by the artificial intelligence frenzy, Microsoft is internally projecting that water use at its data centers will more than double by 2030 from 2020, including in places that face shortages.