Thank you, Ilse. I will now focus on providing a comprehensive overview of our recent operational updates for everyone on the call. Firstly, we're excited to announce that BioStrand, whose LENSai intelligent technology is now a central theme in our strategies has successfully completed its first commercial project using groundbreaking natural language processing technology or NLP technology to analyze molecular binding interactions for a clinical stage program at a pharmaceutical company. This accomplishment represents BioStrand's first official revenue generation since joining our team and demonstrates our commitment to driving innovation in the industry. During this project, BioStrand significantly improved its ability to perform in silico structural prediction of multiple isoforms as well as assessed structural homology. These advancements provided valuable insights into the potential mechanism of action and structural characteristics of the client's target protein and its interactions with potential drug candidates. BioStrand has also expanded its commercial activities with, in silico immunogenicity screening enabling the identification of potentially dangerous immune responses to partners drug candidates. This successful service offering not only confirmed the value and output of BioStrand's in silico immunogenicity testing, but also provides a highly scalable rapid turnaround, powerful and high profit service offering that can be integrated into other IPA programs or offered as a standalone service. This newly commercialized service has the potential to add tremendous value to antibody programs by helping researchers select preferable lead candidates, avoid toxicity pitfalls in early stage clinical trials, save time and money during preclinical and clinical development and avoid potentially unnecessary or and fatal adverse events in patients. Next, our collaboration with BriaCell continues to make significant progress in the first phase of the project, which due to mutually agreed upon additional research steps taken to - undertaken to enhance the quality of the program began one week ago. Our joint efforts to develop an innovative best-in-class therapy are being supported by BioStrand's LENSai intelligent technology, which is playing a vital role in managing and analyzing the high quality data produced through our antibody generation platforms. This collaboration emphasizes our commitment to driving innovation and creating long-term value for investors. Continuing to focus on the accumulation of meaningful quality data, we turn to our next generation sequencing or NGS platform, where we have integrated cutting edge data mining tools, including our proprietary HYFT technology, with next generation sequencing to enhance computational efficiency across our data mining and repository capabilities. One example of our success is reducing the laborious preprocessing of bulk data from a week to just four hours. Furthermore, we have bolstered our wet lab capabilities by implementing a multi-pronged approach that combines single cell functional screening, single cell sequencing, stage display next generation sequencing, and multi-species, multi-organ next generation sequencing. These efforts have been closely coordinated with our in silico analysis platform. Optimizing the functional output and providing us with integrated meaningful data that highlights our innovative capabilities. BioStrand standalone analysis pipeline for NGS antibody repertoire sequences is another example of our commitment to innovation. The pipeline is functional and capable of analyzing human, mouse, chicken, rabbit, camelid, including lama, rat and shark antibody next generation sequences. The pipeline's potential is immense, allowing integration with other bioinformatics pipelines, full IPA controlled flow of data and data processing steps, ease of customization, scalability and optimization of computer intensive steps. This continued focus on leveraging our function first strategy to drive unparalleled innovative solutions further solidifying our position as a leader in the next generation antibody discovery workflow. Lastly, the recent agreement between Talem and Libera Bio showcases our commitment to addressing notoriously difficult intracellular targets and meeting unmet patient needs. This collaboration leverages Libera Bio's multifunctional polymeric nanocapsule or MPN technology, BioStrand's LENSai full suite of integrated intelligence technology, and IPA's wet lab capabilities to develop novel antibodies capable of penetrating the cell membrane and tackling elusive cancer targets. Last but not least, one more example of a commercializable high demand offering by BioStrand is their SAAS model for SAAS-based data management platform, which has been awarded a first round request for proposal or RFP by an undisclosed large pharma company. The platform allows researchers to store, manage and analyze large amounts of multi-omics data using AI and machine learning. If awarded, this program is expected to help the pharmaceutical company accelerate its drug discovery process and improve its R&D efficiency. Minimally, this third-party validation marks the beginning of a new potential revenue stream of great interest and high conceivable revenues for BioStrand. I will now turn the phone over to Mr. Brad McConn for a closer look at this quarter's financials.