Biomedical (science and engineering) is a multidisciplinary scientific research area where engineering and clinical investigators ..... more


The advent of bioinformatics and computational engineering in the field of clinical research have given rise to a convergence of bioethics and computational ethics. Bioethics is the study of ethical, social, and legal issues emerging in these multidisciplinary scientific research and development. It is based on four fundamental principles: respect for autonomy, nonmaleficence, beneficence, and. Justice. 



Cybersecurity is all about protecting the components and data we rely on, components connected to the internet - wireless or not - can be compromised. The same is true for the medical domain where contains unique and sensitive info including DNA sequences and biological attributes, which are unary and cannot be revoked or reissued if compromised


Biomedicine is a multidisciplinary scientific research area where practitioners, engineering and clinical investigators work collaboratively to find cutting edge innovative solutions for advanced medical care that leads to enhanced quality of life. Due to rapid technological advancement in this area,  knowledge of diseases, how to diagnose and treat them is now well beyond our expectations. This is in some part achieved through the use of computational modeling and quantitative profiling that is homologous to various aspects of human clinical biology.

The biomedical field encompasses the science and engineering of using clinical and biological data to develop state of the art algorithms and establish relations among various clinical and biological systems. This sophisticated scientific field has significantly improved current knowledge of medical and biological systems in order to individualize our treatment process. The large growing field with advanced and sensitive scientific profiling requires precise in depth knowledge, expertise, and understanding so that innovative solutions to the world's most pressing clinical challenges are not misdirected.

The most advanced development in this area is the quantitative analysis of stem cell populations and multimodal brain imaging in order to optimize understanding of the clinical therapeutic process. However, the main challenge of stem cell biology is to characterize the proliferation and differentiation processes (i.e. growth dynamic), as very little is known regarding the molecular stimuli responsible for their regulatory mechanisms. This dynamic institutes the regulatory mechanisms responsible for the expansion of cell populations and the acceleration of their therapeutic process towards the appropriate lineage. Our biomedical research team is working on the formulation of the probabilistic computational cell (a muscle cell also known as satellite stem cell) model to understand and characterize these dynamics. We are also working on advanced multimodal medical imaging and stochastic learning systems to improve upon existing neuropathological diagnosis and treatment systems.

CyberDash CryptoMetrics is at the innovation of clinical diagnosis and treatment systems, whose outcomes are grounded from cutting edge approaches emphasizing integration and collaboration among our team members with expertise and experience in advanced clinical, cellular/molecular, and engineering investigations and ideas. We work on cardiac disease, Parkinson's, neuropathology, medical imaging (MRI, DTI, CT, and PET), and computational cell biology. Our biomedical research team also strives to develop their proven state of the art algorithms on brain imaging with the objective of finding   effective treatments and cures and improving quality of life.