Researchers and data scientists at UT Southwestern Medical Center and MD Anderson Cancer Center have developed an artificial intelligence technique that can identify which cell surface peptides ...

A new 'outside-the-box' method of teaching artificial intelligence (AI) models to make decisions could provide hope for finding new therapeutic methods for cancer, according to a new study. A new ...

Significant advancements in understanding the molecular and cellular mechanisms of tumor progression have been made, yet challenges remain. Traditional imaging techniques like MRI, CT, and mammography ...

Bioanalytical method development and validation are at the forefront of ensuring rigorous, reproducible and reliable data in both drug development and clinical diagnostics. The field encompasses the ...

Stronger together: Implementing patient-reported symptom tool in routine cancer care in diverse Asia—A multi-national pilot feasibility study (PROMiSE-Pilot). This is an ASCO Meeting Abstract from the ...

In most boardrooms, the final decision still comes down to a small circle of leaders weighing a narrow set of choices. Yet the problems they face now contain thousands, sometimes millions, of possible ...

Method AI has raised $20m to support its development of a platform designed to overcome tumour visualisation challenges in robotic oncology surgery. The US-based company, which spun out from the ...

Machine Learning–Based Analysis of Treatment Sequences Typology in Advanced Non–Small-Cell Lung Cancer Long-Term Survivors Treated With Nivolumab Deep convolutional neural networks were used to ...

Researchers and data scientists have developed an artificial intelligence technique that can identify which cell surface peptides produced by cancer cells called neoantigens are recognized by the ...