Institute of Cancer Research: World’s largest sarcoma research database aims to revolutionise sarcoma treatment after multi-million pound investment

Institute of Cancer Research: World’s largest sarcoma research database aims to revolutionise sarcoma treatment after multi-million pound investment. “Researchers at The Institute of Cancer Research, London, and The Royal Marsden NHS Foundation Trust, working alongside collaborators from around the globe, are set to begin work on the world’s largest digital hub of sarcoma clinical and research data after receiving a £2.5m grant.”

DigitalHealth: Dr Google causes concern for Macmillan Cancer Support

DigitalHealth: Dr Google causes concern for Macmillan Cancer Support. “Charity Macmillan Cancer Support has said it is concerned patients are turning to the internet for information about the disease, leaving them feeling confused and depressed. Research from the charity, based on a YouGov survey of 2,000 people with cancer in the UK, revealed 39% look online for information about their diagnosis, and of these 27% feel anxious, depressed or confused afterwards.”

MSU Today: New Website Stimulates New Cancer Research Synergies At MSU

MSU Today: New Website Stimulates New Cancer Research Synergies At MSU. “Michigan State University has unveiled a new website highlighting the vast amount of cancer research being conducted throughout the university. The site…features the research of 95 faculty members spread across 20 departments and eight colleges.”

EurekAlert: ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time

EurekAlert: ORNL researchers develop ‘multitasking’ AI tool to extract cancer data in record time. “To better leverage cancer data for research, scientists at [Oak Ridge National Laboratory] are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports. The project is part of a DOE-National Cancer Institute collaboration known as the Joint Design of Advanced Computing Solutions for Cancer (JDACS4C) that is accelerating research by merging cancer data with advanced data analysis and high-performance computing.”

Newswise: New website powered by St. Jude informs families facing childhood cancer no matter where the patient receives treatment

Newswise: New website powered by St. Jude informs families facing childhood cancer no matter where the patient receives treatment. “St. Jude Children’s Research Hospital, a leader in the way the world understands, treats and defeats childhood cancer, has launched Together… an online resource for anyone affected by childhood cancer. Together offers information about diseases, diagnosis and treatment options, as well as supportive care resources and shared stories of hope, healing and experience.”

Medical University of South Carolina: AI tool studied as way to provide cancer risk assessment in low-resource communities

Medical University of South Carolina: AI tool studied as way to provide cancer risk assessment in low-resource communities. “Originally designed as a type of social network provided through an app, ItRunsInMyFamily has evolved into a simple informatics tool that uses artificial intelligence and social networking to collect family health history from patients. Participants complete a short 10-minute questionnaire easily accessible through a website. The free survey, which was built by cancer and informatics experts, using the most current health care guidelines and models, helps individuals do a comprehensive hereditary risk assessment.”

EurekAlert: New open-source software judges accuracy of computer predictions of cancer genetics

EurekAlert: New open-source software judges accuracy of computer predictions of cancer genetics. “Because simple clinical methods to test for genetic variation are vulnerable to missing a lot of cell-to-cell variability, recent computer tools have been developed to predict and characterise genetic diversity within clinical tumour samples. However, there is no existing common benchmarking approach to determine the most accurate computational methods. The study, published in Nature Biotechnology, developed open-source software that can be used to judge the accuracy of computer predictions and establish this benchmark.”