This project implements a machine learning system to predict microclimate conditions in greenhouse environments. The system analyzes environmental sensor data to provide accurate predictions for ...

Abstract: Endodontic treatment success or failure prediction continues to be an important challenge as a result of the intricate relationship between clinical, radiographic, and procedural factors.

Advancements in spatial perturbation transcriptomics (SPT) have revolutionized our understanding of cellular behavior in native tissue contexts by integrating spatial and perturbation data. However, ...

Abstract: Machine learning provides a powerful way of predicting heart failure by identifying hidden patterns using clinical parameters, which is made possible by the abundance of healthcare data.

Just one day after Congress failed to override President Trump's veto of a Colorado water project bill, the U.S. House of Representatives passed a measure to provide funding for several other projects ...

XRP rallied 25% in the first week 2026 from $1.77 December low to $2.38 January 6—37% below July 2025 ATH $3.65 with $1.3B ETFs absorbed in 50 d Exchange balances dropped 57% from 4B XRP to 1.7B in ...

The question of which bets on Time’s 2025 Person of the Year should pay out ignited furor on Kalshi and Polymarket, two major prediction markets. By reaching diametrically opposed conclusions, these ...

Objective: Among elderly populations with concurrent type 2 diabetes mellitus (T2DM) and heart failure (HF), 30-day hospital readmission rates range 10%–25% ...

As 2026 begins, XRP ETFs have delivered the most compelling institutional adoption story in crypto—yet price hasn’t followed. In just 50 days since launching mid-November 2025, these products absorbed ...