With the rapid advancement of scientific technology there has been a significant improvement over the last few decades for digital experiences, cybersecurity, computational engineering, digital communications, behavioral analytics, stochastic theory, encryption, and medical diagnostic systems. .
Our Biometrics team is mainly focused on cybersecurity, blockchain, biological security, multi-tier authentication, encryption, and medical Biometrics. The objective is to innovate a sophisticated state of the art authentication and encryption algorithms to address these challenges in order to protect confidentiality, integrity, authenticity, and nonrepudiation of data or identity.
We incorporate the digital landscape for the entire ecosystem in ZERO Trust model. Our architecture ensures that data and access across the network are secure and based on endpoints parameters with the objective of seeing every user and device connected to the network at any moment.
We are at the edge of incorporating quantum computational theory to generate large and true random numbers to model our cryptographic algorithms for blockchain based on qubits entangle in spatial and temporal domains.
We used asymmetric encryption model based on 256-bit encrypted private key and 128-bit public keys hashed with biological attributes. This integrated BioBlockBits can keep a user’s identity inside a secure electronic distributed ledger system to achieve complete human control within their own block of data sets.
We work on cardiac disease, Parkinson's, neuropathology, medical imaging (MRI, DTI, CT, and PET), and computational cell biology. We designed computational model, establishing correlation among different types of data sets, implement stochastics theory to predict outcomes of the treatment. Our goal is to accelerate clinical trials by developing computational model with big data analytics and results interpretation.
Bioethics & Boisecurity
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.
Objectives to synchronize information and activities across governance and compliance to understand the full scope of risks and optimize processes and procedures in achieving business goals, address uncertainty, avoid wasteful overlaps, and act with integrity.