Envita’s Precision Cancer Care: 35-Fold Improvement in Response Rates

New clinical approaches are imperative beyond the widely adopted National Comprehensive Cancer Network (NCCN) guidelines, utilized by prominent cancer institutions. Cancer is the leading cause of death among individuals younger than 85 years within the United States. Despite significant technological advances, including the expenditure of hundreds of billions, treatment outcomes and overall survival have not notably improved for most types of advanced cancer over the last several decades. Over the past 24 years, Envita Medical Centers has pioneered a unique form of personalized treatment approach for late-stage and refractory cancer patients, introducing groundbreaking innovations in the field. Our integrated algorithm utilizes advanced genomics, transcriptomics, and highly tailored immunotherapy, resulting in remarkable outcome improvements. This study presents Envita’s innovative personalized treatment algorithms and examines the response outcomes of 199 late-stage cancer patients treated at Envita Medical Centers over a two-year period. Compared to standard of care and palliative chemotherapy, Envita’s treatment demonstrated a remarkable 35-fold improvement in overall response rates (Figure 1). Moreover, 88% of the patients, the majority presenting with Stage 3 or 4 cancer, experienced a 43-fold improvement in quality of life with minimal side effects, as compared to standard of care chemotherapy and palliative care. This revolutionary success is attributed to Envita’s personalized therapeutic algorithms, which incorporate customized immunotherapy. Envita’s precision care approach has also achieved a 100% better response rate compared to over 65 global chemotherapy clinical trials with more than 2700 patients. The results from this study suggest that a wider utilization of Envita’s personalized approach can significantly benefit patients with late-stage and refractory cancer.

PathoDNA, an Advanced Diagnostic for Lyme Disease &Co-Infections Utilizing Next Generation DNA Sequencing with Greater Sensitivity and Selectivity than ELISA/Western Blot

The controversial subject of chronic Lyme disease has occupied medical discourse for years while contributing to unprecedented patient suffering in the United States and abroad. A general misunderstanding of Lyme disease and overconfidence in the Center for Disease Control’s (CDC) recommended two-step test for Lyme disease has led to misdiagnosis and incorrect treatment over the years. This leads to increasing medical expenses and worse outcomes for patients. The two-step test, an ELISA immunoblot followed by a confirmatory Western blot, yields accuracy rates as low as 29% for acute Lyme disease and 75% for chronic Lyme disease. While these practices have been a staple of microbiology for decades, these accuracy rates are unacceptable for diagnostic tests when better technology is available. PathoDNA, a Next-Generation DNA sequencing test for Lyme disease and other tick-borne pathogens, achieves accuracy rates of 98% for B. burgdorferi and 95% or greater for other common tick-borne pathogens with superior sensitivity and selectivity. PathoDNA is a Clinical Laboratory Improvement and Amendments (CLIA)-validated laboratory test that achieves these results utilizing Next Generational DNA Sequencing and a proprietary bioinformatics database. Thus, it allows for rapid results and specific identification of tick-borne illnesses. In this article, we will compare this promising technology against the existing standards for diagnosing and testing Lyme disease. We believe that PathoDNA can set a new standard for identifying Borrelia and diagnosing Lyme disease along with other tick-borne infections.

GPU Accelerated Discontinuous Galerkin Methods for Shallow Water Equations

We discuss the development,verification,and performance of a GPU accelerated discontinuous Galerkin method for the solutions of two dimensional nonlinear shallow water equations.The shallow water equations are hyperbolic partial differential equations and are widely used in the simulation of tsunami wave propagations.Our algorithms are tailored to take advantage of the single instruction multiple data(SIMD)architecture of graphic processing units.The time integration is accelerated by local time stepping based on a multi-rate Adams-Bashforth scheme.A total variational bounded limiter is adopted for nonlinear stability of the numerical scheme.This limiter is coupled with a mass and momentum conserving positivity preserving limiter for the special treatment of a dry or partially wet element in the triangulation.Accuracy,robustness and performance are demonstrated with the aid of test cases.Furthermore,we developed a unified multi-threading model OCCA.The kernels expressed in OCCA model can be cross-compiled with multi-threading models OpenCL,CUDA,and OpenMP.We compare the performance of the OCCA kernels when cross-compiled with these models.