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Off-Label Use of an Anti-Hypertensive to Treat Epilepsy
University of Arizona researchers have found the angiotensin II receptor blocker, Candesartan, to effectively reduce epileptic activity.
Background:
As the most prevalent neurological disease, epilepsy is estimated to affect around 50 million people worldwide. In the United States, it is estimated that around 470,000 children and 3 million adults...
Published: 11/14/2024
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Inventor(s): Michael Hammer, Erfan Bahramnejad
Keywords(s):
Category(s): Technology Classifications > Healthcare Portfolios > Neurology, Technology Classifications > Life Sciences > Therapeutics
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Machine Learning Protocol to Improve Clinical Diagnosis, Prognosis and Disease Subtyping for Spectrum Disorders
This innovation is a proposed machine learning-based software designed to improve diagnosis, prognosis, and clinical management of rare diseases, a category encompassing over 10,000 conditions with new additions each year. Currently, the field grapples with a scarcity of effective solutions, with only 5% of rare diseases having established therapeutic...
Published: 1/10/2024
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Inventor(s): Michael Hammer, Joshua Hack, Joseph Watkins
Keywords(s):
Category(s): Technology Classifications > Software & Information Technology > Health IT, Technology Classifications > Software & Information Technology
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Novel mRNA-based Prognostic Index Derived from Differential Expression Analysis Improves Overall Survival Estimates in Glioblastoma
This innovation is a set of biomarkers to predict radiotherapy and chemotherapy outcomes in individual Glioblastoma Multiforme patients to better assess their prognosis and therapy. The method uses gene expression analysis to analyze multiple predictive biomarkers and generate a novel Glioblastoma Prognosis Index to accurately predict the overall survival...
Published: 6/13/2023
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Inventor(s): Eric Weterings, Baldassarre Stea, Daruka Mahadevan, Michael Hammer, Christopher Morrison
Keywords(s):
Category(s): Technology Classifications > Life Sciences, Technology Classifications > Healthcare Portfolios
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Members of the WNT Signaling Pathway as Predictive Markers and Therapeutic Targets in Glioblastoma Multiforme
This technology is a set of biomarkers to predict radiotherapy and chemotherapy outcomes in individual Glioblastoma Multiforme patients to better assess their prognosis and therapy.
Background:
Glioblastoma Multiforme (GBM) is the most aggressive form of brain cancer and is currently treated through surgical intervention, chemotherapy and radiotherapy....
Published: 4/3/2023
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Inventor(s): Eric Weterings, Baldassarre Stea, Daruka Mahadevan, Christopher Morrison, Michael Hammer
Keywords(s):
Category(s): Technology Classifications > Healthcare Portfolios > Oncology, Technology Classifications > Life Sciences > Biomarkers
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Leukocyte RNA Expression: A Novel Neurosurgical Genomics Technique for Predicting Seizure-Free Outcome following Stereotactic Laser Amygdalohippocampotomy
This technology provides a novel set of gene-based biomarkers to predict seizure free results in Stereotactic Laser Amygdalohippocampotomy (SLAH) for epileptic patients. These biomarkers are based on leukocyte RNA expression so the prognosis can be easily done by a blood draw instead of a brain biopsy.
Background:
Drug resistant epilepsy patients...
Published: 4/3/2023
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Inventor(s): Martin Weinand, Ryan Sprissler, Michael Hammer
Keywords(s):
Category(s): Technology Classifications > Healthcare Portfolios > Neurology, Technology Classifications > Life Sciences > Biomarkers
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UAGC Clinical Portal - Software for Clinical Intake and Clinical Orders Management
Inventors at the University of Arizona have developed a clinical intake and orders management system for use with laboratory information management systems (LIMS). The invention is a portal, for use by clinicians and related staff, to place and manage orders for specific tests. The software is capable of interfacing with various LIMS. In effect, it...
Published: 4/3/2023
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Inventor(s): Michael Hammer, David Parizek, Jr., Ryan Sprissler, Nicholas Eddy, Taylor Edwards
Keywords(s):
Category(s): Technology Classifications > Research Tools, Technology Classifications > Life Sciences > Diagnostics, Technology Classifications > Software & Information Technology > Bioinformatics, Technology Classifications > Software & Information Technology > Open Source, Technology Classifications > Software & Information Technology > Web & Internet
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