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Water Treatment Market Poised to Reach $325.41 Billion by 2023: Uncovering Key Trends & Challenges

Water Treatment Market Poised to Reach $325.41 Billion by 2023: Uncovering Key Trends & Challenges
lelezard.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from lelezard.com Daily Mail and Mail on Sunday newspapers.

United Kingdom , United States , Laura Wood , Convoluted Neural Network , Kurita Water Industries , United Utilities Group , Recurrent Neural Network , Kingspan Group , Office Hours Call , Hydro International United Kingdom , E St Office Hours Call , Veolia Environnement , Development Bank , Forward Back Propagation Neural Network , Treatment Market Poised , Uncovering Key Trends , Water Treatment Market , Equipment Type , High Installation , Latin America , Artificial Intelligence , Decision Tree , Feed Forward Back Propagation Neural Network , Free Call , Hours Call ,

A mixed-effects deep learning model to diagnose COVID-19 from computed tomography imaging

Using best practice guidelines, they developed a mixed-effects deep learning model to classify images as healthy or COVID-19 accurately. ....

Convoluted Neural Network , China Consortium Of Chest Ct Image Investigation , China Consortium , Negative Predictive Value , Positive Predictive Value , Computed Tomography , Covid 19 , Deep Learning , Evere Acute Respiratory , Evere Acute Respiratory Syndrome ,

Artificial intelligence for predicting TMB-H colorectal cancer from histopathological characteristics

Artificial intelligence for predicting TMB-H colorectal cancer from histopathological characteristics
Biomarkers are important determinants of appropriate and effective therapeutic approaches for various diseases including cancer. There is ample evidence pointing toward the significance of immune check point inhibitors (ICI) against cancer, and they showed promising clinical benefits to a specific group of patients with colorectal cancer (CRC). Several reports demonstrated the efficacy of biomarkers such as programmed death-1 protein ligand (PD-L1), density of tumor-infiltrating lymphocytes (TILs), and tumor mutational burden (TMB), to determine the patient responsiveness for the efficient use of ICIs as therapeutics against cancer.
A high level of TMB (TMB-H), which reflects elevated total number of non-synonymous somatic mutations per coding area of a tumor genome and normally derived from gene panel testing, is recognized as a promising biomarker for the ICI therapies o ....

Yoshifumi Shimada , Emily Henderson , Convoluted Neural Network , Niigata University , Division Of Digestive , General Surgery , Graduate School , Dental Sciences , எமிலி ஹென்டர்சன் , நீகாட பல்கலைக்கழகம் , பிரிவு ஆஃப் செரிமான , ஜநரல் அறுவை சிகிச்சை , பட்டதாரி பள்ளி , டெஂடல் அறிவியல் ,

Histopathology-driven artificial intelligence predicts TMB-H colorectal cancer

Histopathology-driven artificial intelligence predicts TMB-H colorectal cancer
eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.

Yoshifumi Shimada , Convoluted Neural Network , Niigata University , Division Of Digestive , General Surgery , Graduate School , Dental Sciences , Immune Checkpoint Inhibitor , நீகாட பல்கலைக்கழகம் , பிரிவு ஆஃப் செரிமான , ஜநரல் அறுவை சிகிச்சை , பட்டதாரி பள்ளி , டெஂடல் அறிவியல் , நோய் எதிர்ப்பு சக்தி சோதனைச் சாவடி தடுப்பான் ,

Researchers Use AI System To Identify Mosquitoes

Researchers use AI to identify mosquitoes. Pixabay
Researchers have shown the effectiveness of an artificial intelligence (AI) system known as a Convoluted Neural Network to classify mosquito sex, genus, species, and strain. Rapid and accurate identification of mosquitoes that transmit human pathogens such as malaria is an essential part of mosquito-borne disease surveillance, the study published in PLOS Neglected Tropical Diseases, reported.
Human malaria is an ongoing public health crisis affecting many continents, with the highest numbers of cases and people at risk in sub-Saharan Africa. However, the identification of mosquitoes that transmit malaria can be difficult some species are nearly indistinguishable even to trained taxonomists. ....

University Of Rhode Island , Convoluted Neural Network , Tropical Diseases , Rhode Island , பல்கலைக்கழகம் ஆஃப் ரோட் தீவு , வெப்பமண்டல நோய்கள் , ரோட் தீவு ,