In a proof-of-concept study, the team used machine learning to analyze blood plasma from more than 2,000 participants and link molecular patterns to lung cancer, extrapolating a potential ...

Two advanced predictive machine learning algorithms developed by researchers in England significantly improved the ability of ...

The detection of LCC was achieved using an ensemble of three classifiers: competitive neural networks (CNNs), extreme learning machine (ELM), and long short-term memory (LSTM). This ensemble ...

Machine Learning May Predict Cancer Genes TREE, a novel AI model, enhances cancer driver gene detection using multi-omics data. News Published: January 22, 2025 Original story from the Chinese Academy ...

OXcan's multidisciplinary team is developing a new generation of liquid biopsy blood tests using cutting-edge proteomics and explainable machine learning approaches that can detect the deadliest ...

Researchers at Edith Cowan University (ECU) have developed a cutting-edge Artificial Intelligence (AI) system that could ...

Craif, spun off from Nagoya University in Japan in 2018, is using microRNA (miRNA) to develop an AI-powered early cancer detection software, and it has raised $22 million in Series C funding to ...

They are leading the push for a mass spectrometer cancer detection machine to be brought to Townsville so others don’t have the same experience as them. With only one such machine in Australia ...