Medical Technology with YOU at the center
Cutting-Edge Medical Technology
Empowering Medical Professionals, Transforming Patient Care
Our success is driven by innovation, integrity, collaboration, and a relentless pursuit of scientific excellence.
Colon Mapping Colonoscope
A laser-mapping colonoscope integrates real-time optical scanning with micro-sampling to create a 3D, coordinate-tagged atlas of the colon. A low-power scanning laser system (OCT / Confocal / Raman) maps the mucosal surface while a micro-aspiration or soft brush port collects superficial cells from mapped regions. Each cell sample is automatically linked to its exact spatial location within the colon for genomic, proteomic, or microbiome analysis.
Peripheral Neuro Modulation Platform
Wearable technology designed to support peripheral nerve function.
Millions living with neuropathy experience numbness, cold sensitivity, burning pain, and reduced dexterity. Our platform integrates advanced material engineering, targeted thermal regulation, and microcirculatory support to help stabilize nerve-related symptoms. This is not a single device.
It’s a scalable system focused on restoring functional resilience to the peripheral nervous system. Built for oncology recovery.
Designed for metabolic and age-related nerve stress. Engineered to evolve.
M.S.S.I. Initiative
Master Survival Switch Inhibitor (MSSI): A Unified Strategy to Suppress ERK- and NF-kB-Dependent Anti-Apoptotic Networks in Apoptosis-Resistant Solid Tumors. A subset of solid tumors exhibit profound resistance to chemotherapy through activation of MAPK/ERK,, NF-kB, and CDK9-dependent survival transcription. These pathways stabilize anti-apoptotic proteins MCL-1, BCL-XL, Survivin, XIAP, and c-FLIP. Tumors with NRAS/KRAS activation, APC loss, TP53 loss, and SMAD4 loss depend heavily on this survival cluster. We are developing a unified upstream strategy needed to collapse this network.
C.R.A.E. program (pronounced "cray")
CRAE (Cancer Recurrence Architecture Engine) transforms genomic, pathology, staging, and treatment data into a personalized, educational model of recurrence architecture using A.I.
It explains how a patient’s cancer behaves biologically — without diagnosing or guiding treatment.