A groundbreaking new research from the University of Georgia unveils that omega-3 and omega-6 fatty acids may play an integral role in cancer prevention, adding to their already impressive list of health benefits. The researchers analyzed the data from moreover 250,000 UK Biobank participants to provide convincing evidence for increasing the intake of these essential…
Trying to visualize available genomic data is of great interest. Currently, there exists a lot of specialized visualization tools, but most need to be tailored for a certain cause—the cost and labor increase since these applications need extensive programming done by bioinformaticians and software developers. Biological research is awash with large, complex, multilayered datasets that…
Microscopic imagers may be used in oncology to track and observe cell motions and dynamics, indicating tissues’ real-time response to therapy. Scientists from the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, reconstruct cellular images in 3D from microfabricated imagers using fully-adaptive deep neural networks. This research is the first work that…
A test developed by OHSU researchers could help doctors treat cancer earlier when it’s more likely to be cured. Scientists discover plasma cell-free RNA profiling, which distinguishes cancers from premalignant conditions in solid and hematological malignancies. They developed a blood test to determine if a pre-cancerous condition is progressing to malignancy, potentially allowing therapy early…
Consultation with a machine learning tool helped providers determine more accurately whether patients had a complete response to chemotherapy. Scientists from the University of Michigan investigated the impact of a computerized artificial intelligence (AI)-based decision support system (CDSS-T) on physicians’ diagnostic accuracy in measuring bladder cancer treatment response. The CDSS-T has the potential to increase…
The scientists from Unidad de Investigación Biomédica en Cáncer, México, looked at numerous facets of prostate cancer, including new molecular markers linked to diagnosis, prognosis, therapy prediction, and how bioinformatics tools like machine learning and deep learning can help in the clinic. The findings are expected to improve prostate cancer patient clinical care by applying…
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