Cancer research
Researchers have developed a tumor growth inhibition- overall survival (TGI-OS) model for hormone receptor-positive (HR+)/human epidermal growth factor receptor 2 negative (HER2-) breast cancer using clinical trial data available through Vivli, a clinical trial data sharing platform. The TGI-OS model, a parametric model linking TGI metrics and baseline predictors
Cancer research
A new breast cancer screening study, FAST MRI DYAMOND, is exploring whether a faster magnetic resonance imaging (MRI) scan can detect 'hard to spot' cancers earlier in women with average breast density. Led by North Bristol NHS Trust, the study aims to detect cancers that may not be
Cancer research
New research conducted by the Centers for Disease Control and Prevention (CDC) and other organizations has highlighted significant sociodemographic disparities in the access to family health history (FHH) survey and electronic health records (EHR) data, which could exacerbate inequities in access to FHH-based interventions. The study, published in the Genetics
Cancer research
North Bristol NHS Trust's FAST MRI DYAMOND study is investigating whether a new, faster magnetic resonance imaging (MRI) scan, FAST MRI, can detect breast cancers earlier for women in their early fifties. The study is focusing on women with average breast density and aims to detect cancers that
Cancer research
Researchers at Queen Mary University of London and the London School of Hygiene and Tropical Medicine have conducted an analysis that suggests more women at higher risk of breast cancer should be offered a mastectomy. According to the study published in JAMA Oncology, mastectomy is a cost-effective way to reduce
Cancer research
A study suggests that more women may benefit from preventative mastectomies to reduce their risk of developing breast cancer. The analysis, published in the JAMA Oncology journal, found that if all women aged 30-55 with a 35% or higher risk of breast cancer underwent risk-reducing mastectomies (RRM), an estimated 6,
Cancer research
New research conducted in the People's Republic of China suggests that internet-based nursing guidance may have a significant impact on reducing the risk of postoperative upper limb lymphedema in breast cancer patients. The study, which included 208 female patients who underwent breast and lymph node surgery between 2020
Cancer research
A team of researchers from the Faculty of Sciences, Ibnou Zohr University, Agadir, Morocco, has discovered a novel hybrid 1,2,3-triazole-thiosemicarbazone compound with a strong binding affinity with ESR1, a key target for breast cancer treatment. The compound, synthesized through a multi-step process, exhibits notable stability and interactability with
Cancer research
Researchers at the School of Pharmaceutical Sciences have developed a new approach to breast cancer treatment using doxorubicin-loaded salicylic acid cross-linked chitosan nanoparticles. These nanoparticles, known as Dox-SA-CH-NPs, were designed to minimize systemic toxicity and improve therapeutic efficacy. The study found that Dox-SA-CH-NPs exhibited a mean particle size of 110.
Cancer research
Researchers from the University of Tennessee, Knoxville, have made significant progress in using artificial intelligence and machine learning to provide treatment plans to breast cancer patients more quickly. By analyzing pathology reports and other clinical records, the team has developed a system that determines the extent of breast cancer in
Cancer research
Researchers at the Guangzhou University of Chinese Medicine have developed a machine learning-based model to predict breast cancer incidence risk by incorporating both personal clinical factors and peripheral blood biochemical biomarkers. The study aimed to enhance the understanding of breast cancer risk by identifying novel risk factors using machine learning
Cancer research
New research out of Taiwan has made significant strides in improving the detection accuracy of breast cancer through mammography. The study, led by researchers at National Tsing Hua University, employed deep learning-based computer-aided diagnosis systems to evaluate the effectiveness of transfer learning, image preprocessing techniques, and the latest You Only
