Quantum-inspired AI could tailor patients' cancer treatment to their entire molecular background

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of ...
Frontiers

Early detection of brain pathologies through deep learning and advanced neuroimaging approaches

Recent advances in the field of medical imaging and computational neuroscience have transformed the landscape of brain pathology detection. The application ...
News-Medical.Net

New human protein atlas maps how cancer rewires the body’s tissues

Researchers created a DIA-MS atlas of 13,609 proteins across 2,856 samples from fetal, healthy adult, paired non-tumor, and ...

Mass spectrometry platform could shrink cancer drug discovery cycle to four hours

Researchers at the Purdue Institute for Cancer Research (PICR) have developed a next-generation technology platform designed ...
News-Medical.Net

AI imaging technique detects early endometrial cancer with high accuracy

Endometrial cancer is the most common gynecologic cancer, with more than 69,000 cases diagnosed in the U.S. in 2025 and increasing up to 3% annually.
BMJ

Shared decision-making using a decision aid for patients with breast cancer considering breast reconstruction: study protocol for a cluster-randomised controlled trial in Japan

Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...
IEEE

Quantum Machine Learning in Medical Image Analysis: From Diagnostics to Surgery Planning

Abstract: Quantum Machine Learning (QML) is an emerging, powerful paradigm at the intersection of quantum computing and artificial intelligence, with the potential to enhance medical image analysis.
IEEE

Advanced Medical Image Processing for Lung Cancer Detection using Machine Learning Algorithms

Abstract: One of the main causes of cancer-related deaths is lung cancer, and increasing survival rates requires early detection. The use of sophisticated machine learning (ML) algorithms to improve ...
BioSpace

ASCO: Revolution poised to capture RAS space as pancreatic cancer dataset ‘derisks’ approval

Revolution Medicines and its RAS inhibitor daraxonrasib stole the show at the American Society of Clinical Oncology’s annual meeting this weekend, as Truist Securities predicts a possible third ...
Hoodline

Tampa Cancer Lab Powerhouse Steps Down Amid Image Uproar

A senior scientist who helped shape research at Tampa's H. Lee Moffitt Cancer Center has stepped away from a key leadership post after questions surfaced about several older studies she co-authored ...
Nature

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning in the NISQ Era

We introduce MNISQ, the first large-scale dataset for both quantum and classical machine learning during the NISQ era, containing 4.95 million circuits of 10 qubits constructed with up to 100 ...
Nature

Explainable machine learning-guided integrated multiomics analysis reveals macrophage-driven immune suppression in breast cancer

Y.A. discloses support for the research of this work from European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement No. 847912. M.H. discloses support for the research of ...