This $500,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel materials-based sensing system for detecting a variety of analytes or physiological states in biological fluids. The multidisciplinary team from Lehigh University, led by researchers in chemistry, materials science, bioengineering, and computer science, aims to create an initially "analyte-agnostic" nanosensor array that can be trained using machine learning techniques to accurately identify multiple target analytes. As part of this effort, Lehigh University has issued a $232,375 subaward to the Sloan-Kettering Institute for Cancer Research to conduct nanosensor measurements on biological samples, including high-throughput spectroscopy experiments and sample processing. This integrated approach combining materials science, computational modeling, and machine learning is intended to enable the development of a universal biofluid sensing system with potential applications in disease diagnostics. The project commenced on October 1, 2023 and is scheduled for completion by September 30, 2027.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $500.0k | 9/15/23 |
Grant Number | Description | Subgrantee | Prime Award | Dollars Obligated (Click to sort descending) | Updated At (Click to sort ascending) |
|---|---|---|---|---|---|
54493078001S | Sloan-Kettering Institute For Cancer Research | Project Grant 2323759 | $600.0k | 12/12/23 |