Healthcare Predictive Analytics Market to Reach $128.2 Billion by 2033 Globally, at 24.3% CAGR: Allied Market Research

Allied Market Research published a report, titled, "Healthcare Predictive Analytics Market by Application (Clinical Analytics, ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
IEEE

High-Accuracy Predictive Channel Modeling for 6G Wireless Communications with an Improved Diffusion-Driven Learning Framework

Abstract: To address sparse channel measurement data and inadequate predictive capabilities in conventional channel models, predictive channel modeling employs joint generative and predictive ...
IEEE

Predictive Modeling of Idle Mode Capability for Energy Optimization in Heterogeneous Cellular and IoT Networks

This paper investigates the Idle Mode Capability (IMC) in heterogeneous cellular networks through a dual approach that combines Monte Carlo-based MATLAB simulations with supervised machine learning ...
Frontiers

Mechanistic pathways predictive modeling and translational interventions for radiation enteritis in cervical cancer radiotherapy

Radiation enteritis remains a major dose-limiting toxicity in cervical cancer radiotherapy, significantly impairing treatment continuity, long-term gastrointestinal function, and patient quality of ...
Frontiers

Translational impact of machine learning-driven predictive modeling with pathway-based plasma metabolomic biomarkers for lung cancer detection

Objectives: The detection of lung cancer at its early stages remains essential for better survival outcomes, but current diagnostic approaches show limited sensitivity and often suffer from poor ...