Category Archives: Cancer

Scientists Machine Learning Algorithm to Predict “Emergent” Inflammation Pathway in the Blood

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The delay in finding treatment for patients with IBD is the factor that contributes to delayed CT blood vessel clearance and prolonged risk of developing cardiovascular disease.”
After adjusting for other factors, the researchers found that their combined analysis of both pink tide and CT coronary angiogram (laparotomy) results in an objective biomarker to predict patient response to intracolonary bypass.
This milestone discovery represents a new tool for monitoring disease progression and therapeutic responses. Continue reading →

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New class of cancer immunotherapy inhibitors offers potential as treatment targets

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The research indicates that the new targetable cells have the potential to reduce relapse in patients with solid tumors.
For more than 20 years, Sigmund Hultqvist, Stockholm University bioengineer, has worked with his colleague Karl theodorou to develop new cancer-targeting immunotherapies.
Among the most successful obstacles have been the observed effect in cancer cells.
The research, conducted with colleagues in Finland and Japan and funded by Sigmund’s lab in Stockholm, Sweden, has just been published in Trends in Immunology (TIM) and will be extended into high-throughput screening and clinical trials. Continue reading →

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