Cancer
Research conducted by a team of doctors from the Department of Gynecology at the Hospital of Traditional Chinese Medicine of Qiqihar has led to the development of an artificial intelligence-based ultrasound detecting model that significantly improves the diagnosis of endometrial cancer in postmenopausal women. The study aimed to develop a
Cancer
Researchers from Wuhan University in the People's Republic of China have developed a groundbreaking method for detecting circulating tumor cells (CTCs) in blood samples with high accuracy and speed. The method, which utilizes sialic acid recognition and microfluidic chip-single-cell inductively coupled plasma mass spectrometry (SC-ICP-MS), can quickly screen
Cancer
Research published in the journal Supportive Care in Cancer has investigated the association between changes in smoking behavior and specific cardiovascular disease (CVD) outcomes in cancer survivors. Investigators found that cancer survivors who continued to smoke after their diagnosis were at significantly higher risk of developing cardiovascular diseases such as
Cancer
Research from Kwame Nkrumah University of Science and Technology has highlighted the potential of circulating free DNA (cfDNA) in detecting virus-associated cancers through the analysis of viral footprints. This approach offers transformative potential for early cancer detection, improving prognosis accuracy, and paving the way for innovative, non-invasive diagnostic tools and
Cancer
A new study has shed light on the importance of upfront biomarker testing in patients with advanced non-small cell lung cancer (aNSCLC) and metastatic colorectal cancer (mCRC). The research, conducted by Genentech Inc., evaluated the landscape of biomarker testing coverage and reimbursement in state-regulated health plans. The findings suggest that
Cancer research
Researchers at the University of Oxford's Nuffield Department of Primary Care Health Sciences have conducted a major UK study to analyze a cancer diagnosis pathway for patients presenting with non-specific symptoms (NSS), such as unexplained weight loss or fatigue. The study, published in the Lancet Primary Care, tracked
Cancer research
A recent study published in JAMA compared the use of biparametric (bpMRI) and multiparametric (mpMRI) MRI for prostate cancer diagnosis. The study, led by Prof Freddie Hamdy and Prof Jenny Donovan, found that bpMRI was non-inferior to mpMRI in detecting clinically significant disease. However, the authors emphasized several limitations of
Cancer
Scientists from The Institute of Cancer Research and the Hospital Clinic-IDIBAPS Biomedical Research Institute in Barcelona, Spain, have developed a groundbreaking test that can predict when treatment will be needed for cancer patients up to 10 years in advance. This novel technique, published in the journal Nature, tracks the evolutionary
Cancer
Rob Philp, a Lake Cathie resident, is living proof that early detection can make all the difference in prostate cancer survival. Despite being diagnosed with aggressive prostate cancer in 2016, Philp has taken proactive measures to manage his condition and spread awareness about the importance of early testing. The 67-year-old
Cancer research
A new Phase 1 clinical trial, led by Jonsson Comprehensive Cancer Center, aims to assess the effectiveness of a novel imaging technique using flotufolastat F 18, a radioactive imaging agent, in conjunction with positron emission tomography (PET)/computed tomography (CT) scans to guide targeted prostate biopsies in men with prostate
Cancer research
The global liquid biopsy market is projected to undergo significant transformation in the coming years, driven by the increasing prevalence of cancer, adoption of minimally invasive diagnostic tests, and advances in biomarker discovery. The market is expected to grow from USD 11.41 Billion in 2024 to USD 30.65
Cancer research
Researchers from the Department of ECE have successfully integrated LightGBM with SHAP within a federated learning framework to enhance cancer detection in medical imaging. This innovative approach achieved a remarkable accuracy of 98.3% in cancer detection, with precision, recall, and F1 scores of 97.8%, 97.2%, and 95%
