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Proteomics analysis from aggressive human cancers can help identify potential therapeutic targets

Proteomics analysis from aggressive human cancers can help identify potential therapeutic targets
Researchers at Baylor College of Medicine show that analysis of the proteomics, or all the protein data, from aggressive human cancers is a useful approach to identify potential novel therapeutic targets.
They report in the journal
Oncogene, the identification of proteomic signatures that are associated with clinical measures of aggressive disease for each of the seven cancer types studied. Some signatures were shared between different types of cancer and included cellular pathways of altered metabolism. Importantly, experimental results provided proof-of-concept that their proteomics analysis approach is a valuable strategy to identify potential therapeutic targets. ....

Diana Monsivais , Emily Henderson , Study Co , Clinical Proteomic Tumor Analysis Consortium , Danl Duncan Comprehensive Cancer Center , Researchers At Baylor College Of Medicine , Baylor College , Chad Creighton , Cancer Bioinformatics , Study Co Corresponding Author , Uterine Cancer , எமிலி ஹென்டர்சன் , படிப்பு இணை , ஆராய்ச்சியாளர்கள் இல் பேலர் கல்லூரி ஆஃப் மருந்து , பேலர் கல்லூரி , சாட் கிரெய்டன் , புற்றுநோய் உயிர் தகவலியல் , உயிர் தகவலியல் , வளர்சிதை மாற்றம் , கருப்பை புற்றுநோய் ,

Researchers find AI can predict new atrial fibrillation, stroke risk

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DANVILLE, Pa. - A team of scientists from Geisinger and Tempus have found that artificial intelligence can predict risk of new atrial fibrillation (AF) and AF-related stroke.
Atrial fibrillation is the most common cardiac arrhythmia and is associated with numerous health risks, including stroke and death. The study, published in
Circulation, used electrical signals from the heart measured from a 12-lead electrocardiogram (ECG) to identify patients who are likely to develop AF, including those at risk for AF-related stroke.
Each year, over 300 million ECGs are performed in the U.S. to identify cardiac abnormalities within an episode of care. However, these tests cannot generally detect future potential for negative events like atrial fibrillation or stroke, said Joel Dudley, chief scientific officer at Tempus. This critical work stems from our major investments in cardiology to generate algorithms that make existing cardiology tests, such as ECGs, sm ....

United States , Joel Dudley , Brandon Fornwalt , Abigail Geisinger , Geisinger Department Of Translational Data Science , Geisinger Commonwealth School Of Medicine , Translational Data Science , Geisinger Clinic , Geisinger Commonwealth School , Algorithms Models , Medicine Health , Robotry Artificial Intelligence , ஒன்றுபட்டது மாநிலங்களில் , ஜோயல் டட்லி , பாங்கி கேய்சிங்கேர் , கேய்சிங்கேர் துறை ஆஃப் மொழிபெயர்ப்பு தகவல்கள் அறிவியல் , கேய்சிங்கேர் காமன்வெல்த் பள்ளி ஆஃப் மருந்து , மொழிபெயர்ப்பு தகவல்கள் அறிவியல் , கேய்சிங்கேர் சிகிச்சையகம் , கேய்சிங்கேர் காமன்வெல்த் பள்ளி , மருந்து ஆரோக்கியம் , உயிர் தகவலியல் ,

Fighting antibiotic resistance through new diagnostics

Bacteria become resistant to antibiotics through changes in their DNA - changes which can now be found, through the use of modern DNA sequencing. ....

Johanna Wilde , Nachiketp Marathe , Erik Kristiansson , Department Of Mathematical Sciences At Chalmers , Swedish Research Council , Professor Of Mathematical Sciences At Chalmers , Programming Initiative On Antimicrobial Resistance , Erik Kristiansson Chalmers University Of Technology , Erasmus University Medical Center , Chalmers University , Mathematical Sciences , Integrating Microbial Sequencing , Antimicrobial Resistance , Erasmus University Medical Center Rotterdam , Joint Programming Initiative , Swedish Research , One Health Perspective , Chalmers University Of Technology , Dna Sequencing , Artificial Intelligence , Antibiotic Resistance , Infectious Diseases , Research Council , Data Analysis , ஜோஹன்னா காட்டு , ஏறிக் கிறிஸ்டியன்சன் ,

Proteomics analysis IDs potential drug targets for aggressive cancers

Researchers at Baylor College of Medicine show that analysis of the proteomics, or all the protein data, from aggressive human cancers is a useful. ....

United States , Baylor College Of Medicine , Darshans Chandrashekar , Yiqun Zhang , Diana Monsivais , Sooryanarayana Varambally , Yasmin Vasquez , Ramyap Masand , Fengju Chen , Johnc Faver , Michaele Scheurer , Martinm Matzuk , Burroughs Wellcome Fund , University Of Texas Md Anderson Cancer Center , National Institutes Of Health , Clinical Proteomic Tumor Analysis Consortium , Researchers At Baylor College Of Medicine , University Of Alabama At Birmingham , Cancer Prevention Research Institute Of Texas , Children Brain Tumor Tissue Consortium , Danl Duncan Comprehensive Cancer Center , Cancer Genome Atlas Consortium , Baylor College , Chad Creighton , Cancer Bioinformatics , Texas Children ,

Proteomics analysis identifies potential drug targets for aggressive human cancers

E-Mail
Researchers at Baylor College of Medicine show that analysis of the proteomics, or all the protein data, from aggressive human cancers is a useful approach to identify potential novel therapeutic targets. They report in the journal
Oncogene, the identification of proteomic signatures that are associated with clinical measures of aggressive disease for each of the seven cancer types studied. Some signatures were shared between different types of cancer and included cellular pathways of altered metabolism. Importantly, experimental results provided proof-of-concept that their proteomics analysis approach is a valuable strategy to identify potential therapeutic targets.
There are two notable aspects of this study. One is that we explored the proteomic landscape of cancer looking for proteins that were expressed in association with aggressive forms of cancer, said co-corresponding author Dr. Chad Creighton, professor of medicine and co-director of Cancer Bio ....

United States , Baylor College Of Medicine , Darshans Chandrashekar , Yiqun Zhang , Diana Monsivais , Sooryanarayana Varambally , Yasmin Vasquez , Ramyap Masand , Fengju Chen , Johnc Faver , Michaele Scheurer , Martinm Matzuk , Burroughs Wellcome Fund , University Of Texas Md Anderson Cancer Center , National Institutes Of Health , Clinical Proteomic Tumor Analysis Consortium , Researchers At Baylor College Of Medicine , University Of Alabama At Birmingham , Cancer Prevention Research Institute Of Texas , Children Brain Tumor Tissue Consortium , Danl Duncan Comprehensive Cancer Center , Cancer Genome Atlas Consortium , Baylor College , Chad Creighton , Cancer Bioinformatics , Texas Children ,