Artificial intelligence can determine lung cancer type

(NYU Langone Health / NYU School of Medicine) A new computer program can analyze images of patients' lung tumors, specify cancer types, and even identify altered genes driving abnormal cell growth, a new study shows.
Source: EurekAlert! - Cancer - Category: Cancer & Oncology Source Type: news

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Conclusion: This study suggests that a clinically efficacious cardiovascular Chinese herbal medicine (DLP) can be successfully repurposed to treat a lung disease in pulmonary fibrosis guided by TCM theory. Our comparative study between DLP and DHP demonstrated a critical requirement of suppressing both pro-inflammatory and pro-fibrotic pathways for the treatment of pulmonary fibrosis, supporting that a multi-component prescription capable of “removing both phlegm and blood stasis” will better achieve co-protection of heart and lung in PHD. Introduction Idiopathic pulmonary fibrosis (IPF) is a chronic an...
Source: Frontiers in Pharmacology - Category: Drugs & Pharmacology Source Type: research
Volume 47, Issue 1, December 2019, Page 1595-1602 .
Source: Artificial Cells, Blood Substitutes, and Biotechnology - Category: Biotechnology Authors: Source Type: research
Harvard researchers have developed an artificial intelligence (AI) algorithm...Read more on AuntMinnie.comRelated Reading: AI malware deceives radiologists with fake tumors on CT AI reliably characterizes pulmonary nodules on CT AI spots lung nodules on CT, with low false-positive rate New AI algorithm identifies small lung tumors on CT scans NIH issues huge database of CT scans for AI testing
Source: AuntMinnie.com Headlines - Category: Radiology Source Type: news
Publication date: Available online 18 April 2019Source: Journal of Sport and Health ScienceAuthor(s): Xin Luan, Xiangyang Tian, Haixin Zhang, Rui Huang, Na Li, Peijie Chen, Ru WangAbstractA growing understanding of the benefits of exercise over the past few decades has prompted researchers to take an interest in the possibilities of exercise therapy. Because each sport has its own set of characteristics and physiological complications that tend to appear during exercise training, the effects and underlying mechanisms of exercise remain unclear. Thus, the first step in probing exercise effects on different diseases is the s...
Source: Journal of Sport and Health Science - Category: Sports Medicine Source Type: research
This article reviewed the application of artificial neural network in the field of lung cancer. 
 DOI: 10.3779/j.issn.1009-3419.2019.04.08
Source: Chinese Journal of Lung Cancer - Category: Cancer & Oncology Source Type: research
(Reuters Health) - In many parts of the world there are not enough radiation oncologists to design and deliver radiation treatments for lung cancer patients, but that gap could one day be filled with the help of artificial intelligence, researchers suggest in a new study.
Source: Reuters: Health - Category: Consumer Health News Tags: healthNews Source Type: news
In conclusion, a reliable and robust LC-MS/MS method was developed to quantify erlotinib in hair, however, clinical and in vitro evaluations showed that the method is not suitable for monitoring long term erlotinib exposure. The pitfalls of this application outweigh the current benefits.
Source: Journal of Pharmaceutical and Biomedical Analysis - Category: Drugs & Pharmacology Source Type: research
Conclusions MDSC are major players in the immunosuppressive scenario in cancer, thanks to their phenotype heterogeneity and critical interaction with several innate immune cells, thus representing a crucial target in oncology. Here we reviewed the interactions of MDSCs with NK cells. The contribution of key cytokines, chemokines and mediators active in this process have been discussed. We also described the contribution of MDSC on angiogenesis directly or indirectly through interactions with NK and immunosuppressive activities. A parallel of the cancer associated to the decidual counterpart of these cells is discussed, a...
Source: Frontiers in Immunology - Category: Allergy & Immunology Source Type: research
Conclusions and Perspectives In this review, we have discussed important milestones from the early description of “Serum-sickness” as being due to antibodies directed against Neu5Gc epitopes all the way to the present-day therapeutic implications of these antibodies in cancer therapy. Some of these milestones have been represented in a concise timeline (Figure 6). While the “Xenosialitis” hypothesis is well-supported in the human-like mouse models, it has yet to be conclusively proven in humans. It remains to be seen if “Xenosialitis” plays a role in other uniquely-human diseases. FI...
Source: Frontiers in Immunology - Category: Allergy & Immunology Source Type: research
In this study, we aimed to investigate the potential anti-proliferative and pro-apoptotic activities of SNG in a panel of MM cell lines (U266, IM9, MM1S, and RPMI-8226). SNG treatment of MM cells resulted in a dose-dependent decrease in cell viability through mitochondrial membrane potential loss and activation of caspase 3, 9, and cleavage of PARP. Pre-treatment of MM cells with a universal caspase inhibitor, Z-VAD-FMK, prevented SNG mediated loss of cell viability, apoptosis, and caspase activation, confirming that SNG-mediated apoptosis is caspase-dependent. The SNG-mediated apoptosis appears to be resulted from suppres...
Source: Frontiers in Oncology - Category: Cancer & Oncology Source Type: research
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