Nov. 15, 2022. New US Patent on radiation biodosimetry

The US Patent and Trademark office as issued our patent number 11,501,545 titled “Smart Microscope System for Radiation Biodosimetry.”  It has the same title as our previous patent no. 10,929,641, but there are some important differences. This one claims a broader spectrum of applications for estimation of absorbed radiation dose because it doesn’t require the microscope itself, just the data produced by the microscope. Also, it includes a claim for estimation of whole or partial body ionizing radiation (the latter of which is commonly used to treat patients in radiation oncology).

US Patent 11,501,545

Smart Microscope System for Radiation Biodosimetry

September 9, 2022. Update on US Patent Application “Smart microscope system for radiation biodosimetry”

Our patent application, US Patent Application Serial Number 17/137,317,  has had all claims allowed by the US Patent and Trademark office. This application covers the method underlying our ADCI Radiation biodosimetry software system. New claims cover partial body exposures, which are typical in radiation therapy. In addition, this invention covers applications of the technology which do not require interaction with the microscope system software, and can be used as a standalone system. The patent should be issued within the next several months.

Dec. 8, 2021. New preprint about detecting COVID19 transmission earlier

The #Omicron variant of SARS-CoV-2 spreads fast and contact tracing may prove difficult. Here is our new preprint introducing a new geostatistical approach to find disease hotspots earlier:

Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada.
 
Authors:Eliseos J. MucakiBen C. ShirleyPeter K Rogan
 
 

Figure 8.  Multi-node Directional Networks of Closely Situated Clustered Postal Codes. Directional acyclic graphs (left) organize adjacent high-case clustered PC streaks within the same FSAs ordered according to their occurrence. Panels indicate PCs within (A) M4H and (B) M9V in Toronto during wave 2. Each connection (or ‘edge’) linking two PCs represents a pair of clustered streaks occurring within 30 days of each other (all significant PC pairs are indicated in Extended data29, Section 1 – Table S6). Labels on each edge indicate the duration (in days) separating adjacent PC pairs and the number of cases which occurred in the combined streaks (“dates.cases”). Negative values, when present, indicate the number of overlapping days of concurrent streaks in pairs of PCs. Arrows indicate the temporal order of these paired streaks (from earlier to the later streak). Maps (right) show the physical locations of each PC within the corresponding networks.

October 21, 2021. New article on radiation gene expression signatures in press

We have updated our preprint:

Improved radiation expression profiling in blood by sequential application of sensitive and specific gene signatures (biorxiv.org/content/10.110

This version of the article has now been accepted for publication in the International Journal of Radiation Biology. (link to: Improved radiation expression profiling…pdf)

October 5, 2021. New conference summary article from ConRad 2021 published

Patrick Ostheim, Sally A. Amundson, Christophe Badie, Dimitry Bazyka, Angela C. Evans, Shanaz A. Ghandhi, Maria Gomolka, Milagrosa López Riego, Peter K. Rogan, Robert Terbrueggen, Gayle E. Woloschak, Frederic Zenhausern, Hanns L. Kaatsch, Simone Schüle, Reinhard Ullmann, Matthias Port & Michael Abend (2021) Gene Expression for Biodosimetry and Effect Prediction Purposes: Promises, Pitfalls and Future Directions – Key Session ConRad 2021 -, International Journal of Radiation Biology, DOI: 10.1080/09553002.2021.1987571

Lightning Presentation at “Healthcare without Boundaries” Colloquium – June 2, 2021

CytoGnomix will be presenting: “Radiation biodosimetry exposure assessment from gene expression signatures can be confounded by other underlying disease pathologies” at the CSA / NRC-IRAP Colloquium Healthcare Without Boundaries on June 2, 2021.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

#medicine #healthcare #health #research #radiationprotection

Poster presentation at ConRad 2021 on radiation biodosimetry with ADCI

On May 10, 2021, CytoGnomix is presenting a poster at ConRad 2021 (www.radiation-medicine.de) titled:

Demonstration of the Automated Dicentric Chromosome Identifier and Dose Estimator [ADCI] System in a Cloud-based, Online Environment.

From the abstract:

Interpretation of cytogenetic metaphase images and quantification of exposures remain labour intensive in radiation biodosimetry, despite computer-assisted dicentric chromosome (DC) recognition and strategies to share workloads among different biodosimetry laboratories.  ADCI processes the captured images to identify DCs, selects images, and quantifies radiation exposure.  This paper describes ADCI_Online, a secure web-streaming platform  on Amazon Web Services that can be accessed worldwide from distributed local nodes.

ADCI_Online offers a subscription-based service useful for radiation research, biodosimetry proficiency testing, inter-laboratory comparisons, and training. In a research context, the system could provide highly uniform, reproducible assessment in large studies of many individuals, for example, exposed to therapeutic radiation. ADCI_Online compute environments originate from a single snapshot which can be cloned any number of times; thus, the system can be rapidly scaled when required. With robust network connectivity in a medical emergency of multiple potentially radiation exposed individuals, throughput and capacity for multiple samples requiring simultaneous processing and dose evaluation can be expanded to seamlessly mitigate any backlog in sample interpretation.

Platform presentation at ConRad 2021 on radiation gene signatures

On May 10, 2021, Dr. Rogan is giving a platform presentation at ConRad 2021 (www.radiation-medicine.de) titled
“Radiation biodosimetry exposure assessment from gene expression signatures can be confounded by other underlying disease pathologies.”

Misclassification of patients with underlying disorders by otherwise accurate radiation gene signatures compromises their utility for population-scale radiation exposure assessment. Underlying conditions modify the normal baseline values of biomarkers used for diagnostic analysis of radiation exposure. The collective frequency of these conditions would confound efforts to assess radiation exposures in a mass casualty event, affecting determination of eligibility for radiation-mitigating therapies.

#radiation #misdiagnosis #geneexpression #signature #medicine