The Select Board votes to approve a 90-day cap per year for short-term rentals in Great Barrington, in the proposed bylaw. The board is ironing out other parts of the
Tiny Device May Help Scientists Cure Colorectal Cancer
May 6, 2021USC
Despite advances in early detection and treatment, colorectal cancer remains the third-leading cause of cancer-related death for both men and women in the U.S. But promising new therapies might be on the horizon, thanks to innovative technology from USC scientists.
The approach creates a tiny 3D replica of living human colon cells on a flexible membrane, or chip, about the size of a postage stamp. Scientists could use this colorectal cancer on a chip to study how malignant cells spread. It also may help them determine why the cells might resist certain treatments and test ways to prevent or delay tumor growth all without putting patients at risk.
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This Tiny Device May Help Scientists Cure Colorectal Cancer
Despite advances in early detection and treatment, colorectal cancer remains the third-leading cause of cancer-related death for both men and women in the U.S. But promising new therapies might be on the horizon, thanks to innovative technology from USC scientists.
The approach creates a tiny 3D replica of living human colon cells on a flexible membrane, or chip, about the size of a postage stamp. Scientists could use this colorectal cancer on a chip to study how malignant cells spread. It also may help them determine why the cells might resist certain treatments and test ways to prevent or delay tumor growth–all without putting patients at risk.
How AI Could Make Therapeutic Decision-making for Breast Cancer More Accurate, Affordable
Published in Nature Communications, ReceptorNet is a breakthrough deep-learning algorithm that can determine hormone-receptor status - a crucial biomarker for clinicians when deciding on the appropriate treatment path for breast cancer treatment
December 14, 2020 Imagine being a doctor and having a precocious resident permanently by your side, giving you brilliant insight into disease and helping you to identify the best treatment path for your patients.
A team at Salesforce Research believes this scenario is closer to reality than you might think, as a result of a series of exciting developments in AI vision technology and machine learning.
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Breast cancer affects 1/8 women in the USA, and rates of breast cancer are increasing.
Humans are good at spotting cancer by looking at patterns in cells. But a new AI tool, ReceptorNet, can supplement human theragnosis by identifying the subtle differences in those patterns to inform better treatment decisions.
ReceptorNet was developed in collaboration between Salesforce and Dr. David Agus at the Lawrence J. Ellison Institute for Transformative Medicine of USC.
ReceptorNet could make treatment less expensive and more readily available, particularly in developing countries.
Imagine being a doctor and having a precocious resident permanently by your side, giving you brilliant insight into disease and helping you to identify the best treatment path for your patients.