Unlocking Hidden Opportunities: The Power of Multi-Solution Spatial Aggregation
TS-067434 — The Need
Spatial aggregation is crucial in numerous industries where data from low-level spatial units, such as census blocks, must be grouped into larger, meaningful regions. Traditional approaches often struggle with the computational complexity of these tasks and tend to focus on finding a singl…
- College: College
of
Arts
&
Sciences
- Inventors: Xiao, Ningchuan
- Licensing Officer: Dahlman, Jason "Jay"
AI Software for Complex NMR Spectra Analysis
TS-062576 — The Need
Like a molecular “fingerprint”, NMR spectra provide valuable insights into the properties and structures of molecular compounds. However, analyzing and interpreting NMR spectra is inherently challenging as comprehensive and explicit identification of a compound is tedious and t…
- College: College
of
Arts
&
Sciences
- Inventors: Li, Da-Wei; Bruschweiler, Rafael
- Licensing Officer: Panic, Ana
AI Software for Complex NMR Spectra Analysis
TS-062574 — The Need
Like a molecular “fingerprint”, NMR spectra provide valuable insights into the properties and structures of molecular compounds. However, analyzing and interpreting NMR spectra is inherently challenging as comprehensive and explicit identification of a compound is tedious and t…
- College: College
of
Arts
&
Sciences
- Inventors: Li, Dawei "Dawei"; Bruschweiler, Rafael
- Licensing Officer: Panic, Ana
Visual Function Mapping Technology: Enhancing Vision Care and Diagnostics
TS-062335 — The Need: In the field of ophthalmology and vision care, there is a critical need for accurate and comprehensive measurements of visual function over the entire visual field. Conditions such as glaucoma, age-related macular degeneration (AMD), diabetes, stroke, pituitary disease, brain tumors, and n…
- College: College
of
Arts
&
Sciences
- Inventors: Lu, Zhong-Lin; Lesmes, Luis; Xu, Pengjing "PJ"; Yu, Deyue
- Licensing Officer: Dahlman, Jason "Jay"
Finding rare events by knowing where NOT to look
TS-051417 —
Traditional regression analysis has been a staple in predicting cause-effect relationships. Counltess industries use these methods to predict rare events, from economic issues to cancer research, causality is often a desired result. Given the vast amount of potential variables it sometimes becomes…
- College: College
of
Arts
&
Sciences
- Inventors: Melamed, David; Schoon, Eric
- Licensing Officer: Hampton, Andrew