Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

An AI system improves diagnostic accuracy and specificity in breast MRI, reducing false positives and variability in lesion ...

The biopharmaceutical sector is transitioning from reactive off-line quality control to a proactive quality by design (QbD) framework. Process analytical technology (PAT) enables this shift through ...

Cosmic relationships in space mirror human connections, with some stars locked in destructive, codependent partnerships. Binary systems featuring white dwarfs often exhibit this imbalance, where one ...

The older regime was prescriptive; basically, it told employers precisely what they must do, in how many ways, and according to which of 44 overlapping statutes. The new Codes, by contrast, propose a ...

Wulandari, Rastafael, and Hwihanus (2024) conducted a meta-analysis of international studies and found that implementing ...

A high-energy signal lasting over seven hours, first observed in mid-2025, has drawn intense scrutiny from astrophysicists tracking rare cosmic phenomena. Detected by multiple space-based ...

Background Current diagnosis of antiphospholipid syndrome (APS) relies on antiphospholipid antibodies (aPL) testing, but false-positive aPL results and asymptomatic aPL carriers pose significant ...

Objective This study focused on the preferences for psychological assistance and associated factors among Chinese healthcare workers (HCWs) during the COVID-19 pandemic. Design Cross-sectional ...

Objectives To describe the incidence, presentation and long-term health outcomes of suicidal thoughts and behaviours (STBs) ...

Before any system goes live, leaders should pause and ask what kind of decisions they are delegating to AI. Some problems are mechanical and bounded and ripe for AI assistance. Others depend on local ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...