NetraMark and CAMH Announce Research Award to Advance AI-Driven Discovery in Schizophrenia and Depression

NetraMark Holdings Inc. (the “Company” or “NetraMark”) (CSE: AIAI) (OTCQB: AINMF) (Frankfurt: PF0), a premier artificial intelligence (AI) company transforming clinical trials with AI-powered ...
Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
Devdiscourse

AI strengthens cyber defenses across critical sectors

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
EurekAlert!

Beyond small data limitations: Transfer learning-enabled framework for predicting mechanical properties of aluminum matrix composites

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...
GEN - Genetic Engineering and Biotechnology News

AI Tool Identifies Disease-Causing Genetic Mutations and Predicts Disease Type

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.
Tech Xplore

'Periodic table' for AI methods aims to drive innovation

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...
Tech Xplore

New method improves the reliability of statistical estimations

MIT researchers have developed a method that generates more accurate uncertainty measures for certain types of estimation. This could help improve the reliability of data analyses in areas like ...
IEEE

Enhancing Defect Classification in Solar Panels With Electroluminescence Imaging and Advanced Machine Learning Strategies

Abstract: Electroluminescence (EL) imaging is the most widely used diagnostic technique for identifying flaws at every stage of the production, installation, and operation of solar modules. This ...
IEEE

Machine Learning and Deep Learning for Loan Prediction in Banking: Exploring Ensemble Methods and Data Balancing

Abstract: The prediction of loan defaults is crucial for banks and financial institutions due to its impact on earnings, and it also plays a significant role in shaping credit scores. This task is a ...
C&EN

Machine Learning Approaches for Optimizing Drug Combinations in Neurodegenerative Diseases: A Brief Review

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