As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...

Here, we present new biophysical models of gene expression that enable engineers to rationally design and optimize genetic systems with desired functionalities, using statistical thermodynamics, ...

Data science, artificial intelligence, and machine learning have drawn significant attention in healthcare recently. Heterogeneous data sources including electronic health records, clinical notes, ...

As enterprises embrace AI responsibly, the digital twin will emerge as the bridge between trust, transparency and ...

As bispecifics, ADCs, protein degraders, and AI-designed mini-proteins move into the clinic, discovery teams face a new ...

NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced that it has opened its predictive analytics ...

Biomedical Artificial Intelligence and Computational Modeling are new emerging areas in biomedical engineering. These areas cover: Data analysis and interpretation: developing and applying algorithms ...

In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...

In this Invited Talk from SC19, Karen Willcox from the University of Texas presents: Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning. Achieving ...

The construction industry continues to lag behind others when it comes to the adoption of digital work practices. How can the Fourth Industrial Revolution become reality without a fully digitized ...