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Author: oncologs.com

researchers-customize-ai-tools-for-digital-pathology

Researchers customize AI tools for digital pathology

Scientists from Weill Cornell Medicine and the Dana-Farber Cancer Institute in Boston have developed and tested new artificial intelligence (AI) tools tailored to digital pathology—a rapidly growing field that uses high-resolution digital images created from tissue samples to help diagnose disease and guide treatment. Credit:
implantable-led-device-uses-light-to-treat-deep-seated-cancers

Implantable LED device uses light to treat deep-seated cancers

Credit: University of Notre Dame Certain types of light have proven to be an effective, minimally invasive treatment for cancers located on or near the skin when combined with a light-activated drug. But deep-seated cancers, surrounded by tissue, blood and bone, have been beyond the
aging-retinal-pigmented-epithelium:-omics-based-insights-into-vision-decline

Aging retinal pigmented epithelium: Omics-based insights into vision decline

“These findings potentially support employing anti-aging therapies such as senolytic pharmacologic compounds to prevent or ameliorate progression to AMD […]” Credit: 2024 Matei and Paraoan. “These findings potentially support employing anti-aging therapies such as senolytic pharmacologic compounds to prevent or ameliorate progression to AMD […]”
regorafenib-synergizes-with-tas102-against-multiple-gastrointestinal-cancers

Regorafenib synergizes with TAS102 against multiple gastrointestinal cancers

“In this study, we investigated the therapeutic effects and the underlying mechanisms of TAS-102 in combination with regorafenib against gastrointestinal cancers.” Credit: 2024 Zhang et al. “In this study, we investigated the therapeutic effects and the underlying mechanisms of TAS-102 in combination with regorafenib against
nerve-damage-from-breast-cancer-treatment-can-be-predicted

Nerve damage from breast cancer treatment can be predicted

Many women treated for breast cancer using taxanes, a type of cytostatic drug, often experience side effects in the nervous system. Researchers at Linköping University have developed a tool that can predict the risk level for each individual. The tool could help doctors adapt treatment
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