Title: Novel B-bio propositions, equations, models for understanding biological processes, clinical diagnosis, medicine and therapy
Abstract:
Abhishek Bansal presents an independently conceived and entirely self-funded research initiative built over more than two decades, integrating Novel B-Bio propositions, equations, computational models, and proprietary BVidAl algorithms developed to advance understanding of biological processes, clinical diagnosis, medicine, and therapy through unified computational, mathematical, and engineering approaches. His work is implemented in the BVidAl Clinical Software Suite, a collection of three freely available clinical software applications designed for medical imaging, cardiac and ECG analytics, and general diagnostic computation. These systems support multi-modality imaging, including X-ray, 2D and 3D ultrasound, CT, MRI (fMRI and sMRI), PET, and histopathology, and introduce algorithmic tools for electrophysiology and cardiac signal interpretation. The computational foundations of this work derive from extensive multidisciplinary research spanning Platonic, Archimedean, and Catalan solids, abstract algebra, continuum mechanics, electrical and mechanical engineering, fluid dynamics, electronics, advanced mathematics and statistics, quantum mechanics, electrodynamics, and magnetohydrodynamics. This unified framework integrates engineering with medical science to produce original models and algorithms intended for potential clinical application and practical diagnostic value. While the core BVidAl Kernel and BVidAl RTOS are proprietary, their logic, structure, and architecture are comprehensively explained through white papers, manuals, and technical documentation intended for academic and clinical transparency. All surrounding components are distributed under LGPL-2.1-only, with additional modules under Apache, MIT, and BSD licenses, enabling open redistribution, academic evaluation, and compliance auditing while maintaining separation of proprietary and open-source elements. A dedicated Compliance White Paper provides full legal and technical scaffolding, including licensing boundaries, DRM and anti-circumvention considerations, open-source obligations, explanation of strong and weak copyleft interactions, and platform-specific compliance across macOS, Windows, and Linux distributions. It also details build pipelines, out-of-tree module wrappers, SPDX SBOM generation, UML flowcharts, toolchains, applets, GUI architecture, and secure app-store integration procedures. These materials are intended to support legal review, regulatory audits, and judicial verification of authorship, provenance, and licensing integrity. Security and privacy measures are implemented through strict adherence to global standards including HIPAA, GDPR, BIS, EU, FDA, and WHO medical data guidelines. Stored and processed clinical information is protected using AES-256 encryption and SHA-512 hashing to ensure end-to-end security. Validation includes twelve departmental case studies across Cardiology, Endocrinology, Pulmonology, Hematology, Immunology, Nephrology, Hepatology, Neurosciences, Gastroenterology, Orthopedics, Spinal Cord, and Oncology, demonstrating system integration, potential clinical utility, and alignment with real-world diagnostic practices. The BVidAl Clinical Software Suite is distributed entirely free of charge, without telemetry, tracking, data collection, advertising, subscription models, or monetization, supporting open scientific collaboration and future research innovation. This initiative is positioned as a bridge between medicine, computation, and engineering, created to empower clinicians, researchers, students, and innovators worldwide and to contribute meaningfully to accessible and transparent scientific progress.
