Tag: Oncology

Growing support for AI in healthcare as survey shows healthcare professionals embracing AI for clinical and administrative tasks. Find out more!

New research shows how machine-learning models, trained on PET-MRI data, can help better understand the differences within tumours at a molecular level, which can affect the effectiveness of treatments. The ability to identify changes in tumour subtypes caused by treatment, and to characterise intratumoural heterogeneity, may lead to better precision oncology treatments.

Massive Bio's AI chatbots, DrArturo and AskFiona, are set to revolutionize cancer care. These tools provide personalized information and assessments to patients, physicians, and site investigators, promoting patient empowerment and reducing reliance on hospital-specific healthcare. Powered by ChatGPT, they are expected to set new industry standards.

This Scientific Reports article evaluates a machine learning survival model trained on clinical and histological data. This model accurately identifies high-risk patients with hormone responsive HER2 negative breast cancer. It can help reduce the cost and time spent on more expensive genomic tests and assist medical professionals in the oncology field. Dr. Cognetti of Istituto Tumori Giovanni Paolo II is advocating for the machine learning model use.

. This article discusses how machine learning can help improve postoperative continuous recovery scores in oncology patients. Patient-generated data collected through wearables and analyzed through machine learning can be used to assess treatment effectiveness and gauge potential risks. Learn about Dr. Giulia Rognini's research and her experience in teaching and working with industry. #PerioperativeCare #MachineLearning #DataAnalysis #Wearables