Machine-learned biomarker identifies those at high risk for liver cancer

Researchers led by Xian-Yang Qin at the RIKEN Center for Integrative Medical Sciences (IMS) in Japan have developed a score that predicts the risk of liver cancer. Published in the journal Proceedings ...
STAT

As oncologists ponder how to integrate AI-powered cancer tools, products are hitting the market

Oncologists say there is promise in new AI tools that can guide them when choosing between two plausible treatments.
UC San Diego Today

Artificial Intelligence Predicts Colorectal Cancer Risk in Ulcerative Colitis Patients

An AI workflow accurately grouped ulcerative colitis‑LGD patients by cancer risk, flagging about half as low‑risk with a ~99 % chance of staying cancer‑free for two years. The AI workflow revealed ...
Science Daily

Mysterious RNA led scientists to a hidden layer of cancer

A mysterious RNA found in breast cancer led scientists to uncover an entire hidden class of cancer-specific RNAs across ...
News-Medical.Net

CNN-based system improves lung nodule detection and classification

Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
IEEE

Machine Learning based Bird’s Emotions Recognition using Joint Dataset of Audio and Visual Images

Abstract: Accurate recognition of bird emotions is essential for advancing bird behavior studies and conservation efforts. This paper introduces a learning approach for bird emotions recognition, ...
IEEE

Comparative Analysis of Machine Learning and Deep Learning Models for Land Use Classification: On UC Merced Dataset

Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...