Illinois Tech biomedical engineering professor Philip R. Troyk elected as Fellow of the National Academy of Inventors
Grant and Award Announcement
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 18-Dec-2025 18:11 ET (18-Dec-2025 23:11 GMT/UTC)
Philip R. Troyk, director of the Pritzker Institute of Biomedical Science and Engineering at Illinois Institute of Technology (Illinois Tech), has been elected a 2025 fellow of the National Academy of Inventors (NAI). The NAI Fellowship is the highest professional distinction awarded solely to inventors, and Troyk is one of 169 inventors from the United States selected for this distinguished honor this year.
We are excited to announce a special call for papers for an upcoming issue of Communications in Transportation Research (COMMTR) that is dedicated to the emerging intersection of generative models and intelligent control in autonomous driving traffic systems.
A study in Nature Communications by Michele Ceriotti’s group at EPFL has introduced a new dataset and model that greatly improve the efficiency of machine-learning interatomic potentials (MLIPs) and their applicability for different chemical elements and material classes. The first key innovation of the study is a brand-new dataset called Massive Atomistic Diversity (MAD), covering both organic and inorganic materials and ranging from 3D bulk structures to nanoclusters and molecules. The other element is the network architecture itself, that unlike other models has few a priori assumptions and learns chemical symmetries during training.
Coronary computed tomography angiography (CCTA) is a non-invasive scan used to diagnose stable coronary artery disease (CAD), which commonly manifests as angina.
Reduced coronary blood flow, measured using an artificial intelligence-based tool from CCTA images, was found to predict future cardiovascular events and death in patients with suspected stable CAD.
Such a tool may be useful to personalise the treatment of patients with reduced coronary blood flow at high risk of cardiovascular events.