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.”

Weill Cornell Medicine: Scientists Build the First Global Database and Roadmap for CAR Therapy Clinical Trials

Weill Cornell Medicine: Scientists Build the First Global Database and Roadmap for CAR Therapy Clinical Trials. “Weill Cornell Medicine scientists have built the first global database of clinical trials testing a rapidly expanding approach to cancer treatment that involves genetically modifying immune cells to recognize specific targets on a patient’s cancer cells and attack them. By analyzing the approach, called chimeric antigen receptor (CAR) therapies, the scientists designed a ‘therapeutic roadmap’ that identifies all current therapies as well as additional cancers that can be treated with them.”

Research Brief: Discovering how people with breast cancer use Facebook for support (University of Minnesota)

University of Minnesota: Research Brief: Discovering how people with breast cancer use Facebook for support. “Many people turn to social networks, such as Facebook, to connect with friends and family during times of crisis. A study by the University of Minnesota School of Public Health recently analyzed the activity of breast cancer survivors on Facebook during their treatment and found while they posted more, they made relatively few requests for help.”

New York University: Combination of Artificial Intelligence & Radiologists More Accurately Identified Breast Cancer

New York University: Combination of Artificial Intelligence & Radiologists More Accurately Identified Breast Cancer. “An artificial intelligence (AI) tool—trained on roughly a million screening mammography images—has identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.”