Deep Learning on Cell Signaling Networks Establishes Interpretable AI for Single-Cell Biology
Researchers at the Research Center for Molecular Medicine of the Austrian Academy of Sciences have created knowledge-primed neural networks which utilize signaling pathways and gene-regulatory
Using Artificial Intelligence to Identify Cancer
Even with the best doctors, these details are hard to differentiate accurately due to human error. Using AI algorithms can help combat this difficulty in
Artificial Intelligence can improve CT screening to identify patients infected with the Coronavirus
Image for representational purpose only Researchers are developing a new technique using Artificial Intelligence (AI) that would improve CT screening to more quickly identify patients
Stanford Launches Online Program on AI in Healthcare
By Stanford Center for Health Education August 11, 2020 Comments Credit: Stanford The Stanford Center for Health Education has launched an online program on Artificial Intelligence in
Cognitive AI and the Power of Intelligent Data Digitalization
How can enterprises harness the vast sources of non-digital data from unstructured documents like claims, receipts, invoices and scanned paper forms? In a quest to
Artificial Intelligence May Accelerate Heart Failure Diagnosis
August 05, 2020 - Artificial intelligence-enhanced electrocardiogram (ECG) may be able to accurately detect heart failure in patients being evaluated in the ER for shortness of
Artificial intelligence sheds light on membrane performance
Credit: King Abdullah University of Science and Technology Membrane separations have long been recognized as energy-efficient processes with a rapidly growing market. In particular, organic
Markt für pädiatrische Telemedizin: Ausführlicher Marktforschungsbericht 2020 bis 2027
Die Analysten von Insight Partners prognostizieren laut Bericht den neuesten Bericht über die Auswirkungen und Analysen des globalen Marktes für pädiatrische Telemedizin (Covid-19) bis 2027;
A brief history of the future of genomics
At the time when Microsoft announced Windows in 1985, it would have been hard to believe how quickly personal computers would become ubiquitous. During that
3 strategies to manage digital health data
Digital health data is growing at such an astronomical rate that its volume is measured in exabytes – 2,314 exabytes, by one projection . (For