A research team has developed a multi-medium approach (MMA) to identify reproducible volatile organic compounds (VOCs) in ...
20h
Hosted on MSNLung Cancer Cells Develop Electrical Autonomy to Aid Tumor GrowthResearchers from the Francis Crick Institute have found that some particularly aggressive lung cancer cells can develop their ...
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Hosted on MSNResearchers develop model to identify tumor-fighting immune cells in lung cancer patientsResearchers at the Johns Hopkins Kimmel Cancer Center and Bloomberg~Kimmel Institute for Cancer Immunotherapy have developed a computer model to help scientists identify tumor-fighting immune cells in ...
A phase III study of combination therapy with everolimus plus lanreotide versus everolimus monotherapy for unresectable or recurrent gastroenteropancreatic neuroendocrine tumor (JCOG1901, STARTER-NET) ...
Comparative outcomes of neuroendocrine tumors in the historically underserved population of Bronx, NY: Montefiore Einstein Comprehensive Cancer Center. Pamrevlumab ...
Exelixis, Inc. (Nasdaq: EXEL) today announced results from a subgroup analysis of the phase 3 CABINET pivotal study of patients with extra-pancreatic ...
This combination showed promising results in topically accessible tumors like melanoma and breast cancer models: The therapy led to the death of tumor cells at the treated sites and simultaneously ...
In this way, the model explores non-trivial scenarios. An important weakness of this study is that, though it is inspired by NSCLC tumors, it is still far from modelling tumor lesions with ...
"In limited-stage small cell lung cancer, it's most often used along with chemo to treat the tumor and lymph nodes in the chest. Or it could be used on the brain to try to keep the cancer from ...
Now, researchers have created a novel treatment that eliminated small breast tumors and significantly shrank large tumors in mice in a single dose, without problematic side effects. Despite ...
For the retrospective study, an ensemble 3D U-Net deep learning model was trained for lung tumor detection and segmentation using 1,504 CT scans with 1,828 segmented lung tumors. The model was ...
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