Onose and Takao Yasui, an associate professor at Nagoya University, co-founded Craif just a month after they met. Yasui had created a new method for early cancer detection using urinary biomarkers.

Researchers say findings provide compelling evidence underscoring the potential of electric-field molecular fingerprinting for minimally invasive disease detection.

Abstract Purpose This study aims to investigate the impact of tumor quadrant location on the 5-year early-stage breast cancer survivability prediction using explainable machine learning (ML) models.

With advances in machine learning, researchers are using neural networks to predict cancer risks and guide personalized treatments. By processing immense datasets, AI helps identify factors ...

As a result, computational algorithms are being used to predict therapeutic outcomes in patients. In recent years, the integration of machine learning into healthcare has revolutionized patient care, ...

New research uses machine learning to mine data from standard lung-cancer scans and predict patients most likely to have heart damage from radiation treatment later in life.

Researchers at City of Hope and Translational Genomics Research Institute (TGen) have developed and tested an innovative machine-learning approach that could one day enable the earlier detection ...

With the help of machine learning, scientists have identified a plethora of potential drug targets for glioblastoma, breast cancer and more.

Researchers discuss the development and validation of a combined model for the early diagnosis of lung cancer.

Stratifying patients with cancer according to risk of relapse can personalize their care. In this work, we provide an answer to the following research question: How to use machine learning to estimate ...