European Medical Journal

Groundbreaking Dataset to Advance Blood Cancer Diagnosis

Researchers suggest that this dataset could significantly accelerate innovation in AI-based diagnostics for blood disorders.

AI tool can analyze complex cancer images rapidly—offering potential to personalize treatment

Complex digital images of tissue samples that can take an experienced pathologist up to 20 minutes to annotate could be ...
EMBO Press

From microscopes to maps: enabling a new era of open and reproducible data sharing in intravital imaging

In this issue of The EMBO Journal, Pizzagalli and colleagues present proof-of-principle analyses of immune cell motility ...

Machine learning predicts drug response for personalized colorectal cancer treatment

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...
EurekAlert!

An interpretable machine learning model for predicting 5‐year survival in breast cancer based on integration of proteomics and clinical data

Breast cancer is a highly heterogeneous malignancy among women worldwide. Traditional prognostic models relying solely on ...
Tech Xplore on MSN

Machine learning algorithm rapidly reconstructs 3D images from X-ray data

Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...
eLife

CNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
ascopubs.org

Development, External Validation, and Deployment of RFAN-ML: A Machine Learning Model to Estimate Renal Function After Nephrectomy

Reasoning Models for Text Mining in Oncology: A Comparison Between o1 Preview, GPT-4o, and GPT-5 at Different Reasoning Levels Partial nephrectomy has been advocated as the preferred surgical approach ...