From: ucsd.edu Researchers at UC San Diego have developed advanced deep learning techniques that could revolutionize treatment planning for breast cancer radiotherapy – making it faster and improving its quality. The team sought to reduce inconsistencies in treatment plans and improve patient outcomes by leveraging artificial intelligence (AI) using the Expanse system at the San Diego Supercomputer Center (SDSC), which …
New biomarker can accurately predict outcomes in meningiomas and breast cancers
Source : University of Texas M. D. Anderson Cancer Center From: news-medical.net Using a new technology and computational method, researchers from Fred Hutch Cancer Center and The University of Texas MD Anderson Cancer Center have uncovered a biomarker capable of accurately predicting outcomes in meningioma brain tumors and breast cancers. In the study, published today in Science, the researchers discovered …
Analyzing multiple mammograms improves breast cancer risk prediction
By: Julia Evangelou Strait From: washu.edu A new study from Washington University School of Medicine in St. Louis describes an innovative method of analyzing mammograms that significantly improves the accuracy of predicting the risk of breast cancer development over the following five years. Using up to three years of previous mammograms, the new method identified individuals at high risk of …
Assay Predicts Response to Neoadjuvant Atezolizumab Plus Chemotherapy in TNBC
By: Chris Ryan From: onclive.com Key Takeaways The DetermaIO test identified TNBC patients who benefitted from atezolizumab plus chemotherapy, showing improved pCR rates in IO-positive patients. IO-positive patients had a 69.8% pCR rate with atezolizumab, significantly higher than IO-negative patients, indicating the test’s predictive value. The DetermaIO gene expression test identified patients with early-stage triple-negative breast cancer (TNBC) who benefitted …
New tool predicts nerve damage risk from breast cancer treatment
Source: Linköping University Sweden From: news-medical.net Many women treated for breast cancer using taxanes, a type of cytostatic drug, often experience side effects in the nervous system. Researchers at Linköping University in Sweden have developed a tool that can predict the risk level for each individual. The tool could help doctors adapt treatment to avoid persistent side effects in those …
Precision medicine tool predicts breast cancer immunotherapy response
By Shania Kennedy From: healthitanalytics.com Researchers from the University of Texas (UT) Southwestern Medical Center have developed a computational tool to predict breast cancer immunotherapy response by analyzing how cancer and immune cells interact. The research team indicated that forecasting patients’ therapy response has significant potential to inform and improve treatment, as current immunotherapies are limited. “Immunotherapies have made incredible strides in extending …
AI model predicts 5-year breast cancer risk from mammogram data
By: Amerigo Allegretto From: auntminnie.com An AI model developed by Duke University researchers can predict five-year breast cancer risk from mammograms, a study published March 19 in Radiology found. A team led by Mark Donnelly from the Durham, N.C.-based university found that their deep learning-based algorithm, a simplified offshoot of Mirai, performed well in predicting cancer risk by evaluating breast …
Prediction of Lymphovascular invasion status in breast cancer based on magnetic resonance imaging radiomics features
From: sciencedirect.com Abstract Objective This study intended to investigate the feasibility and effectiveness of using clinical magnetic resonance imaging (MRI) radiomics features to predict lymphovascular invasion (LVI) status in breast cancer (BC) patients. Methods A total of 182 BCE patients were retrospectively collected and randomly divided into a training set (n = 127) and a validation set (n = 55) in a 7:3 ratio. Based …
Method that rapidly predicts breast cancer survival rates clinically validated
Provided by: Imperial College London From: medicalxpress.com Digistain, a company with its roots at Imperial, has proven the worth of its breast cancer assessment method in a significant clinical trial. A method that rapidly predicts breast cancer survival rates, based on a technique invented at Imperial, has been successfully tested in a clinical validation study. Patients with a low risk …
Mammography Study: AI Software Predicts One-Third of Breast Cancer Cases Up to Two Years Prior to Diagnosis
By: Jeff Hall From: diagnosticimaging.com Emerging research suggests that adjunctive use of artificial intelligence (AI) in mammography screening accurately identifies high malignancy risk up to two years prior to diagnosis in over a third of women with screen-detected or interval cancers. For the retrospective study, recently published in Radiology, researchers evaluated the use of the adjunctive AI software Transpara version …
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