Leveraging open-source AI platforms, this technology enables automated image-based detection, prediction, and control of microfluidic single bubble/droplet formation.
An open-top microfluidic chip enables transplantation of human solid tumor explants into vascularized 3D tissue for controlled CAR-T perfusion, imaging, and analysis.
A way to organize distributed systems for data centers that require fewer resources and increase efficiency and predictability.
A conversational large language model (LLM) that analyzes health data and communicates with patients to provide actionable insights.
A device consisting of electrode patches, a control box, and software for automated nerve conduction studies.
A method of CT imaging where the techniques of using non-circular orbits around the target and spectral imaging are combined resulting in fewer metal artifacts and higher image quality.
A reconstruction algorithm based on a generative diffusion model for multi-coil, highly undersampled non-Cartesian MRI allowing drastic reduction of scan time
An algorithm designed to defend Large Language Models (LLMs) against jailbreaking attacks that significantly reduces attack success rates.
A specification-by-example toolkit that generates formal network specifications using only input-output examples.
A physical embodiment of a locally-learning neural network, which learns faster than current CPU-based nets.