The Nation Newspaper

US-Based Nigerian scholar develops low-cost AI tool for brain tumour detection

A United States-based Nigerian researcher, Oladele Ayomide Benjamen, has developed a low-cost artificial intelligence (AI) ...
Science Daily

AI flags more than 250,000 suspicious cancer research papers

A powerful new AI tool has uncovered what could be one of the biggest integrity problems in modern science. After analyzing 2 ...
Johns Hopkins Medicine

Virtual Tumor Predict Response to Liver Cancer Immunotherapy

Researchers @hopkinskimmel and @HopkinsMed develop methods to predict which #livercancer patients do best with combination ...
InfoQ

Meta's Noninvasive Brain–Computer Interface Brain2Qwerty Achieves 61% Accuracy

Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from ...

Advancing Neurological Disease Prediction through Machine Learning Techniques

A study explores how AI and ML can improve early detection of neurological diseases, including Parkinson’s disease, ...

New method separates brain signals to show how complex actions are organized

A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...
IEEE

A Systematic Review of Machine Learning and Deep Learning Techniques for Brain Tumor Classification, and Grading

Abstract: Brain tumors rank among the most lethal forms of cancer, and their early detection is crucial for improving patient outcomes. Beyond timely identification, accurately determining tumor type ...
IEEE

Analysis of Image Classification Using Machine Learning

Abstract: An image is a representation of a visual object, scene, or pattern, usually in the form of a two-dimensional array of pixels. In digital imaging, cameras or other imaging devices capture or ...