Biotronics provides three software platforms that streamline biomedical and forensic analysis for hospitals, research institutions, and forensic labs. MediSight ingests any biomedical data and simulates lesion progression to forecast disease trajectories, while ForenSight offers open‑source DNA comparison tools that cut forensic analysis from days to seconds.
Funding
Funding not disclosed
Founders
Product
Problem
Biomedical research and clinical diagnostics often rely on fragmented data pipelines that are slow, require specialized hardware, and lack predictive capabilities, while forensic DNA analysis can take days to produce results, limiting timely investigations. Additionally, predicting molecular structures of cellular and nuclear receptors from genomic data lacks efficient, accurate computational methods, especially those leveraging quantum computing.
Solution
Biotronics delivers three specialized platforms to address these gaps. MediSight ingests any type of biomedical data and runs simulations that forecast lesion progression, giving clinicians and researchers early insight into disease development. ForenSight provides an open‑source suite of forensic DNA comparison tools that cut analysis time from days to seconds, enabling rapid case turnaround. Bio‑Q implements a quantum‑machine‑learning algorithm—the first quantum circuit built to predict molecular structures of cellular and nuclear receptors directly from genomic information—accelerating drug target discovery. All solutions are software‑based, deployable within institutional IT environments, and integrate with existing analytics workflows to streamline decision‑making.
Target Audience
Primary customers are hospitals and medical research institutions that need advanced disease modeling and molecular prediction tools, academic clinical trial centers conducting quantum‑enabled studies, and forensic genetics laboratories seeking rapid DNA comparison capabilities.
Features
- Comprehensive data ingestion engine in MediSight that accepts diverse biomedical data formats for unified analysis
- Lesion progression simulation module that projects disease trajectory based on current findings
- Open‑source forensic DNA comparison toolkit (ForenSight) that reduces comparison time to seconds and runs locally on user devices
- Quantum machine‑learning algorithm (Bio‑Q) that predicts 3‑D structures of cellular and nuclear receptors from genomic sequences
- First publicly disclosed quantum circuit specifically designed for receptor structure prediction
- Secure, on‑premise deployment options compatible with hospital and academic research IT infrastructures
- APIs and integration hooks for downstream reporting, visualization, and EHR or LIMS systems