A team led by investigators at Mass General Brigham and Dana-Farber Cancer Institute has developed and validated an ...
Small cell lung cancer (SCLC) is one of the most aggressive forms of lung cancer, with a five-year survival rate of only 5%.
Automated skin lesion classification using ResNet50 transfer learning on HAM10000 dataset. Achieved ~83% accuracy across 7 diagnostic categories. MATLAB implementation for VCU Image Analysis course.
Talk about a breath of fresh air. Researchers have developed a groundbreaking device that may one day make detecting lung cancer as easy as exhaling. “We built a screening tool that could allow ...
In the fight against cancer, an important field of research is the search for safe alternatives to chemotherapy and radiotherapy. These treatments attack both cancer cells and healthy cells, exposing ...
ADC usage in breast cancer treatment increased 3.7-fold from 2021 to 2023, with significant reductions in median time to treatment. Older women experience lower ADC treatment rates and longer delays ...
Abstract: This paper used Matlab software to process and analyze images, focusing on the processing effects of different filtering methods on different types of noise. To verify the effectiveness of ...
Founded in 2020, the nonprofit helps women facing breast cancer reclaim their confidence and self-esteem. The organization provides free boudoir and portrait photo sessions to help survivors heal ...
Recent studies have examined what tampons are made of and whether those materials might pose risks — but so far, there is no confirmed link between tampon use and cancer. However, the study did not ...
President Trump signed an executive order on Tuesday aimed at using artificial intelligence to improve research and treatments for childhood cancer. The order builds on a 2019 database established by ...
President Donald Trump directed the federal government to use artificial intelligence to improve childhood cancer research and funneling $50 million to the National Institutes of Health for that ...
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