Profile

Michael Hammer

Research Scientist, Ecology and Evolutionary Biology | Research Scientist, Neurology | Member of the Graduate Faculty | Research Scientist, BIO5 Institute

BIO5 Institute

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Overview

Research

Research in Ecology and Evolution

Student Thesis/Dissertation(8)

Predicting Disease Severity in Patients With SCN8A Gain of Function Variants: A Proposal for a 3-Phase Predictive Model Pipeline From Diagnosis to Treatment
2023·masters
CONSTRUCTING A PREDICTIVE MODEL FOR SCN8A DEVELOPMENTAL AND EPILEPTIC ENCEPHALOPATHY
2022·bachelors
THE HIPPOCAMPAL TRANSCRIPTOME AFTER SEIZURE INDUCTION: A COMPARISON OF MODELS
2022·bachelors
Understanding SCN8A and Voltage-Gated Sodium Channelopathies
2019·doctoral
Inference of Recent Demographic History of Population Isolates using Genome-wide High Density SNP Arrays and Whole Genome Sequences
2018·doctoral

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Technologies & Patents(6)

Machine Learning Protocol to Improve Clinical Diagnosis, Prognosis and Disease Subtyping for Spectrum Disorders
2023·Technology
Novel mRNA-based Prognostic Index Derived from Differential Expression Analysis Improves Overall Survival Estimates in Glioblastoma
2022·Technology
Members of the WNT Signaling Pathway as Predictive Markers and Therapeutic Targets in Glioblastoma Multiforme
2018·Technology
Leukocyte RNA Expression: A Novel Neurosurgical Genomics Technique for Predicting Seizure-Free Outcome following Stereotactic Laser Amygdalohippocampotomy
2018·Technology
UAGC Clinical Portal - Software for Clinical Intake and Clinical Orders Management
2016·Technology

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News(20)

Precautions in Place as Student-Athletes Return to Campus
2020
UA Team Uncovers Promising Lead in Genetic Approach to Treating Glioblastoma
2018
Supercomputers Could Improve Cancer Diagnostics
2016
UA Researcher in PBS Series on Early Humans
2015
KGUN-TV Series on UA Research
2014

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People

Profile

Michael Hammer

Courses(1)

Research in Ecology and Evolution

Student Thesis/Dissertation(8)

Predicting Disease Severity in Patients With SCN8A Gain of Function Variants: A Proposal for a 3-Phase Predictive Model Pipeline From Diagnosis to Treatment

CONSTRUCTING A PREDICTIVE MODEL FOR SCN8A DEVELOPMENTAL AND EPILEPTIC ENCEPHALOPATHY

THE HIPPOCAMPAL TRANSCRIPTOME AFTER SEIZURE INDUCTION: A COMPARISON OF MODELS

Understanding SCN8A and Voltage-Gated Sodium Channelopathies

Inference of Recent Demographic History of Population Isolates using Genome-wide High Density SNP Arrays and Whole Genome Sequences

Technologies & Patents(6)

Machine Learning Protocol to Improve Clinical Diagnosis, Prognosis and Disease Subtyping for Spectrum Disorders

Novel mRNA-based Prognostic Index Derived from Differential Expression Analysis Improves Overall Survival Estimates in Glioblastoma

Members of the WNT Signaling Pathway as Predictive Markers and Therapeutic Targets in Glioblastoma Multiforme

Leukocyte RNA Expression: A Novel Neurosurgical Genomics Technique for Predicting Seizure-Free Outcome following Stereotactic Laser Amygdalohippocampotomy

UAGC Clinical Portal - Software for Clinical Intake and Clinical Orders Management

News(20)

Precautions in Place as Student-Athletes Return to Campus

UA Team Uncovers Promising Lead in Genetic Approach to Treating Glioblastoma

Supercomputers Could Improve Cancer Diagnostics

UA Researcher in PBS Series on Early Humans

KGUN-TV Series on UA Research