Browse Technologies

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Robust Learning Algorithms in Adversarial Environments

Vanderbilt engineers have developed an algorithmic framework for machine learning under the threat of adversarial evasion. The framework leverages a game theoretic model of interaction between the learner and an evading attacker, and makes use of modern optimization tools to increase robustness of learning algorithms as they are used in operational settings.


Data-driven Agent-based Modeling Architecture

A team of engineers at Vanderbilt University has developed a data-driven agent-based modeling framework that can be used in forecasting consumer behavior for product adoption purposes. The architecture turns agent-based modeling into a reliable forecasting tool at both individual and population level resolutions.


Molecular Image Fusion: Cross-Modality Modeling and Prediction Software for Molecular Imaging

A research team at Vanderbilt University Mass Spectrometry Research Center has developed the Molecular Image Fusion software system, that by fusing spatial correspondence between histology and imaging mass spectrometry (IMS) measurements and cross-modality modeling, can predict ion distributions in tissue at spatial resolutions that exceed their acquisition resolution. The prediction resolution can even exceed the highest spatial resolution at which IMS can be physically measured. This software has been successfully tested on different IMS datasets and can be extended to other imaging modalities like MRI, PET, CT, profilometry, ion mobility spectroscopy, and different forms of microscopy.


Diagnostics Management Team

The sheer volume of medical information available to physicians today is overwhelming. Diagnostic Management Team provides a concise, accurate method for ordering the correct diagnostic tests every time, and it returns the results in a uniform report format, easily read by the physician. This has already been launched within Vanderbilt University, with a high adoption rate amongst physicians and has already shown significant savings.


Licensing Contact

Tom Utley
thomas.j.utley@vanderbilt.edu
615.343.3852

Inventors

Mary Zutter

Mouse Anti-Rabbit Rab25 Monoclonal Antibody

This research targets Rab25.


Licensing Contact

Jody Hankins
jody.hankins@vanderbilt.edu
615.322.5907

Inventors

James Goldenring
Research Tools
Antibody
Oncology

Screening Assay for Molecules That Alter Cell Cycle Rhythm

This research targets Cell Cycle.


Licensing Contact

Karen Rufus
karen.rufus@vanderbilt.edu
615.322.4295
Research Tools
Assays/Screening
Oncology Research Reagent

Mice with Inducible Cre-ERt Replacing Cytokeratin 19 Coding Region

This research targets CK19.


Licensing Contact

Taylor Jordan
taylor.jordan@vanderbilt.edu
615.936.7505

Inventors

Guoqiang Gu, Anna Means
Research Tools
Animal Model
Oncology

MEF Cell Line Derived From Histone Deacetylase-3 Conditiontal Knockout Mice

This research targets HDAC-3.


Licensing Contact

Jody Hankins
jody.hankins@vanderbilt.edu
615.322.5907

Inventors

Scott Hiebert
Research Tools
Cell Line
Oncology

Human Monoclonal Antibodies to Infectious Diseases

Using human B cell hybridoma creation, and antibody engineering technologies, Dr. James E Crowe Jr.'s laboratory has developed an array of antibodies from full length human antibodies to Fab fragments and diabodies. Many of these antibodies are ready for a cooperate partner who can further develop these antibodies into biologic herapeutics. The table below is a sample of the antibodies they are currently researching and have available. In addition to these areas of research, Dr. Crowe is actively seeking collaborative opportunities to identify new interesting targets for future antibody engineering projects.