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"Robinson, Josh"
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Trinity. Vol. 4, The search for Steve Trevor
\"Batman and Superman help Wonder Woman rediscover Themyscira, but finding Diana's lost homeland proves more difficult than these three heroes expected. While on their journey, a distress call from a nearby ship turns out to be more than meets the eye, and the Trinity find themselves marooned in the dread island of Skartaris. To make their way back home, our heroes will have to overcome Deimos, who will stop at nothing to seal off Skartaris from the rest of world forever!\"-- Provided by publisher.
Genome Sequencing as an Alternative to Cytogenetic Analysis in Myeloid Cancers
by
Kruchowski, Scott
,
Uy, Geoffrey L
,
Duncavage, Eric J
in
Acute myeloid leukemia
,
Algorithms
,
Bone marrow
2021
In this study, investigators compared genome sequencing with cytogenetic analysis in 263 patients with acute myeloid leukemia or myelodysplastic syndromes. Prospective sequencing detected new genetic information that was not revealed by cytogenetic analysis in nearly 25% of the patients, which altered the risk category for most of these patients.
Journal Article
Monitoring clonal burden as an alternative to blast count for myelodysplastic neoplasm treatment response
2025
Accurate assessment of therapy response in myelodysplastic neoplasm (MDS) has been challenging. Directly monitoring mutational disease burden may be useful, but is not currently included in MDS response criteria, and the correlation of mutational burden and traditional response endpoints is not completely understood. Here, we used genome-wide and targeted next-generation sequencing (NGS) to monitor clonal and subclonal molecular disease burden in 452 samples from 32 patients prospectively treated in a clinical trial. Molecular responses were compared with International Working Group (IWG) 2006-defined response assessments. We found that myeloblast percentage consistently underestimates MDS molecular disease burden and that mutational clearance patterns for marrow complete remission (mCR), which depends on myeloblast assessment, was not different than stable disease or bone marrow aplasia, underscoring a major limitation of using mCR. In contrast, achieving a complete remission (CR) was associated with the highest level of mutation clearance and lowest residual mutational burden in higher-risk MDS patients. A targeted gene panel approach was inferior to genome-wide sequencing in defining subclones and their molecular responses but may be adequate for monitoring molecular disease burden when a targeted gene is present in the founding clone. Our work supports incorporating serial NGS-based monitoring into prospective MDS clinical trials.
Journal Article
Monitoring clonal burden as an alternative to blast count for myelodysplastic neoplasm treatment response
2025
Accurate assessment of therapy response in myelodysplastic neoplasm (MDS) has been challenging. Directly monitoring mutational disease burden may be useful, but is not currently included in MDS response criteria, and the correlation of mutational burden and traditional response endpoints is not completely understood. Here, we used genome-wide and targeted next-generation sequencing (NGS) to monitor clonal and subclonal molecular disease burden in 452 samples from 32 patients prospectively treated in a clinical trial. Molecular responses were compared with International Working Group (IWG) 2006-defined response assessments. We found that myeloblast percentage consistently underestimates MDS molecular disease burden and that mutational clearance patterns for marrow complete remission (mCR), which depends on myeloblast assessment, was not different than stable disease or bone marrow aplasia, underscoring a major limitation of using mCR. In contrast, achieving a complete remission (CR) was associated with the highest level of mutation clearance and lowest residual mutational burden in higher-risk MDS patients. A targeted gene panel approach was inferior to genome-wide sequencing in defining subclones and their molecular responses but may be adequate for monitoring molecular disease burden when a targeted gene is present in the founding clone. Our work supports incorporating serial NGS-based monitoring into prospective MDS clinical trials.
Journal Article
AREA DEVELOPMENT AGREEMENTS FOR MULTI-UNIT FRANCHISORS
2020
Jeff Butcher has been a licensed owner with Pearle Vision since 1999 and Chris Butcher joined Pearle Vision in 2011 after graduating from optometry school. \"Since we are both eye doctors and entrepreneurs, we knew from the beginning that we wanted to be multi-unit owners with Pearle Vision,\" says Chris Butcher. How It Started For the Butchers, the opportunity to sign a 15-unit area development agreement was a product of the right time and location, both for growth in their business and the brand. \"Area development agreements have been an important vehicle of growth for Pearle Vision. Because the agreements involve a minimum of three locations within a certain geographic area in exchange for reduced fees and exclusive territory rights, they are extremely attractive to franchise candidates interested in multi-unit ownership.
Trade Publication Article
ENVISIONING GOING INTERNATIONAL?
2019
[...]about half of all new retail businesses in Canada are franchises, so it is reasonable to expect Canadian consumers to welcome your brand. [...]you will need to list financial data in Canadian dollars and convert any measurements, such as descriptions for products, signage or fixtures, into metric units. Josh Robinson is vice president of licensing & development of Pearle Vision and is responsible for defining and developing business strategies to grow the Pearle Vision franchise system.
Trade Publication Article
Comfort My People: Presbyterians accompany those suffering from the impact of mental illness
2019
Experience in ministry has taught me that tending to someone's mental health in the pews requires more than a few extracurricular, optional workshops in seminary, and more than keeping a cache of pamphlets of mental health resources in the community. To God be the glory, the 223rd General Assembly of the Presbyterian Church (U.S.A.) overwhelming acted to support people in the pulpits, pews and public who suffer from mental illness. Last month, a task group gathered in Louisville to dream, lament and begin working on these objectives to fully include persons living with mental illness in the Body of Christ, to learn from their experiences and gifts and to help our society at the intersection of mental health and faith.
Newsletter
DynamoSort: Using machine learning approaches for the automatic classification of seizure dynamotypes
by
Zachery-Savella, Ashley
,
Wilcox, Karen S
,
Wooley, Josh
in
Amygdala
,
Biomarkers
,
Classification
2025
Epilepsy is characterised by unprovoked and recurring seizures, which can be electrically measured using electroencephalograms (EEG). To better understand the underlying mechanisms of seizures, researchers are exploring their temporal dynamics through the lens of dynamical systems modelling. Seizure initiation and termination patterns of spiking amplitude and frequency can be sorted into \"dynamotypes\", which may be able to serve as biomarkers for intervention. However, manual classification of these dynamotypes requires trained raters and is prone to variability. To address this, we developed DynamoSort, a machine-learning algorithm for automatic seizure onset and offset classification.
We used approximately 2100 seizures from an intra-amygdala kainic acid (IAK) mouse model of mesial temporal lobe epilepsy, categorized by five trained raters. MATLAB's classification learner application was used to create an ensemble model to score and label dynamotypes of individual seizures based on spiking and frequency features.
Dynamotype classification of real EEG data lacks a definitive ground truth, with mean interrater agreement at 73.4% for onset and 64.2% for offset types. Despite this, DynamoSort achieved a mean area under the curve (AUC) of 0.81 for onset and a mean AUC of 0.75 for offset types. Machine-human agreement was not significantly different from human-to-human agreement. To address the lack of ground truth in ratings, DynamoSort assigns probabilistic scores (-20 to 20), to indicate similarity to each seizure dynamotype based on spiking features, allowing for a characterization of seizure dynamics on a spectrum rather than the traditional qualitative taxonomy.
Automating the classification of dynamotypes is a critical step for their inclusion as a biomarker in clinical and research applications. DynamoSort is a straightforward, open-access tool that uses automatic labelling and probabilistic scoring to quantify subtle changes in seizure onset and offset dynamics.
Journal Article