ADVANCED TECHNOLOGY IN BIG DATA AND HEALTH SCIENCES

Where winning partnerships in health sciences and big data start

The University at Buffalo Center for Advanced Technology in Big Data and Health Sciences (UB CAT) is a project cost-sharing grant program funded by Empire State Development's Division of Science, Technology and Innovation (NYSTAR) program, designed to drive the growth of life and health science businesses in New York State.

By partnering with a UB researcher, life and health science companies can gain access to matching funds for collaborative product development and proof-of-concept research and development projects in four main areas.

  • Drug Develoment
  • Diagnostics
  • Medical Devices
  • Healthcare IT

 

CAT.

Steps to Apply

  1. Review full RFP for program details. 
  2. Email UBCATprogram@buffalo.edu to schedule a call for more information on how UB CAT funding works and/or to discuss your proposed project with UB CAT staff. If your project is new to UB CAT, we strongly encourage you to reach out as soon as possible to learn more. 
  3. Submit completed Letter of Intent by March 1, 2024. If the project is in alignment with the UB CAT focus area, you’ll be invited to submit a full project application.

Not ready to submit? Check out our other life sciences resources.

Featured Collaborations

Randall Rasmusson, PhD
High Throughput Assays for Quantitative Optical Electrophysiology

Item ID: 721521346 Medical technology concept.

Albert Titus, PhD
Wireless Biosensor System Indication & Advancement Project

Lymphatic system.

John Tomaszewski, MD
Lymph Node Database to Advance Computational Pathology

early detection of Sjögren’s syndrome.

Julian Ambrus, MD
Evaluation of Sjogren’s Antibodies

biology laboratory.

Ram Samudrala, PhD
Designing and Validating Optimal Nonaddictive Analgesics Using the CANDO Paradigm

Item ID: 615791984 Vertical scientific background in blue and red, space for your text. Hand in blue glove holding samples for DNA amplification with red reaction mictures.

John Kolega, PhD
Validation of a Blood-Based Diagnostic Assay for Rupture Risk Assessment of Intracranial Aneurysms

Liposome structure 3d rendering on blue background.

Jonathan Lovell, PhD
Generation and Testing of Liposomal Nanoparticles

Human brain blood vessels.

Swetadri Vasan Setlur Nagesh, PhD
Reverse Engineering Hemodynamics: Leveraging Perturbation Theory for Enhanced Stability Analysis and Intervention Outcome Prediction in Intracranial Aneurysm Treatments

catheter for implantation into blood vessels.

Vicora

David Zlotnick, MD
Robotic Endovascular Catheter