Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more personalized vaccines, including vaccines for cancer. They described the tool in ...
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Science for living: Can using AI risk prediction in breast cancer screening improve early detection?
Artificial intelligence is transforming medicine, but what does that mean for breast cancer screening? Researchers at UMass Chan Medical School are exploring how an AI-based tool might help identify ...
Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...
In pet genetics, cancer research, and beyond, Charlie Lieu, MBA ’05, SM ’05, has spent her career harnessing massive data ...
An end-to-end medical diagnostic tool utilizing Artificial Neural Networks (ANN) to classify breast tumors as Malignant or Benign with high accuracy. Built on the Breast Cancer Wisconsin (Diagnostic) ...
Abstract: Cervical Cancer is still a major cause of cancer-related morbidity and mortality in women globally, especially in low and middle financial country where routine screening and diagnostic ...
Annabell Downey’s breast cancer was diagnosed only after she collapsed and was taken to hospital — by which point it had already spread. Her experience highlights growing evidence that having a ...
Abstract: Ovarian cancer is one of the most challenging cancers to detect early, often leading to poor survival rates. This study explores supervised and unsupervised machine learning and deep ...
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