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Current screening procedures for lung cancer involve the use of low-dose computed tomography (LDCT). However, this approach has correlated with high false-positive rates, invasive and costly workups. In addition, 80% of diagnosed patients are unresponsive to treatment. There is a need for biomarkers with improved diagnostic accuracy and a capability of predicting response in order to improve treatment. In this study, a set of three miRNAs have been identified that can faithfully differentiate between disease free and lung cancer patients. These miRNAs have also shown to converge on pathways responsible for promoting onceogenesis pf lung cancer and mediating resistance, suggesting potential to serve as a predticitve diagnostic tools.

Molsamp 2021

Multianalyte Liquid Biopsy Biomarkers for NSCLC Risk Assessment

The 15th Joint MMM-INTERMAG Conference (2022 Joint) is sponsored jointly by AIP Publishing and the IEEE Magnetics Society. Members of the international scientific and engineering communities interested in recent developments in fundamental and applied magnetism are invited to attend and contribute to the technical sessions. The technical program will include invited and contributed papers in oral and poster sessions, invited symposia, a plenary session, and an evening session, with about 1500 presentations overall. This Conference provides an outstanding opportunity for worldwide participants to meet their colleagues and collaborators and discuss developments in all areas of magnetism research.

The 2022 Joint Conference will offer both in-person and prerecorded on-demand content.

For tickets to the event, please register at the following link: https://magnetism.org/register

Please register for the Joint MMM-Intermag conference to join the event.

2022 Joint MMM-INTERMAG

poster

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https://www.dropbox.com/s/uy7tgnb198uiz0o/Abstract_Hamdan_FinalDraft.docx?dl=0

Machine Learning Approaches to Allow Unbiased Analysis of Opioid Withdrawal.

In the Milky Way galaxy, there exists a mysterious source of antimatter subatomic particles called positrons or antielectrons, the origins of which are currently unknown. The 511 keV photons emitted from positron-electron annihilations are the clues to understanding the origin of these positrons. The instrument responsible for the current, most-sensitive mapping of galactic 511 keV emissions is the International Gamma-Ray Astrophysics Laboratory (INTEGRAL). I am working on simulating high-purity germanium (HPGe) spectrometers using Geant4-based software to characterize the performance of the HPGe modules that will be placed in CubeSAT and SmallSAT payloads. These detectors will be the successor to INTEGRAL. In addition to the HPGe crystal providing the current highest resolution in mapping the 511 keV line, the plans to increase the active mass of the HPGe crystal while minimizing overall spacecraft mass will allow for higher detector efficiency while reducing noise caused by cosmic rays producing local positrons. These are some aspects of our detector that will provide a more sensitive mapping of the 511 keV line than INTEGRAL and allow us to further study the origin of these galactic positrons.

Simulating High-Purity Germanium Spectrometers Using Geant4-Based Software to Characterize Detector Performance

Back pain can originate from Intervertebral Disc (IVD) degeneration (IVDD), and inflammatory stimulation and degradative enzyme activity to contribute to the development and progression of IVDD. IVDD often develops through changes in nucleus pulposus (NP) structure compromising the function of the IVD. However, the metabolic effects of injury and localized inflammation and degradative enzyme activity on the NP is poorly understood. Therefore, this study was designed to determine the effects of NP stimulation with inflammatory cytokines (IL-1β, RANTES) and a degradative enzyme (MMP-1), shown to be produced by tissues during IVDD. It was hypothesized that localized stimulation of the NP within an IVD would result in significant increases in the pro-inflammatory and degradative metabolism, and decreased physical properties, of the tissue compared to controls. With ACUC approval, rat tail IVD explants were created, and assigned to the MMP-1 (Injury+injection), IL-1β (Injury+injection), RANTES (Injury+injection), PBS (Injury+injection), injury only, or uninjured control groups. A 25g needle was used to create an injury and inject 10ul of solution based on group. Explants were cultured for 6 days, media was collected for biomarker analysis, and IVDs were tested biomechanically and histologically. The IL-1β injection produced significantly higher levels of MIP-1𝛼, IL-6, MCP-1, GRO, IL-1β, and TIMP-1 compared to the PBS, RANTES, and MMP-1 groups on day 3 of culture, and MIP-1𝛼, IL-6, MCP-1, IL-1β, and TIMP-1 on day 6 of culture. The injury only group produced significantly higher levels of MIP-1𝛼, IL-6, MCP-1, and TIMP-1 compared to the RANTES and MMP group on day 3 of culture, and MIP-1𝛼, MCP-1, and TIMP-1 on day 6 of culture. The creep modulus in the IL-1β, RANTES, and MMP-1 groups were significantly lower than uninjured control on day 6 of culture. Average histology scores were higher for the MMP-1 and IL-1β groups compared to the uninjured controls. The data from this study indicates the IL-1β group was the most inflammatory of the treatments applied to the IVD, and produced significantly higher biomarker levels compared to other injection groups. Injury alone was more inflammatory than injury plus injection as the PBS, RANTES, and MMP-1 groups produced significantly lower inflammatory biomarkers compared to the injury only control. The IL-1β, RANTES, and MMP-1 resulted in physical changes to the IVD based on decreased creep modulus and higher histology scores. In conclusion, IL-1β elicited an inflammatory metabolic response, contributing to pain and inflammation in IVD degeneration and physical changes within the IVD, while RANTES and MMP-1 elicit physical changes in IVD degeneration but not a metabolic inflammatory response.

Multianalyte Liquid Biopsy Biomarkers for NSCLC Risk Assessment

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