SwipeBiome provides a software platform that reads real‑time microbial signals from a patient’s microbiome and translates them into actionable treatment recommendations for clinicians. By decoding the microbiome’s “code” without requiring lab tests, the system aims to improve therapeutic outcomes and reduce trial‑and‑error prescribing, offering unbiased, science‑based guidance at the point of care.
Funding
Funding not disclosed
Founders
Product
Problem
Clinicians lack real-time insight into patients’ microbiome composition, relying on delayed laboratory tests or ignoring microbial factors altogether. This blind spot can lead to ineffective treatment cycles and suboptimal patient outcomes.
Solution
SwipeBiome offers a software platform that continuously reads microbial signals from a patient’s sample and translates them into actionable treatment recommendations. Its BiomePulse engine decodes billions of microbiome data points into a living atlas of microbial intelligence, then connects microbes, metabolites, and medications into an explainable biological model. The platform delivers unbiased, science‑based guidance instantly, eliminating the need for separate lab testing and waiting periods. Clinicians receive real‑time recommendations that can be integrated into existing electronic health record workflows, enabling more precise and personalized therapy choices. By making the invisible biology of the microbiome accessible, SwipeBiome aims to improve treatment effectiveness and promote fair, transparent care.
Target Audience
Primary users are physicians and healthcare providers—such as gastroenterologists, oncologists, and primary care clinicians—who seek microbiome‑informed insights to guide treatment decisions.
Features
- BiomePulse engine that decodes raw microbiome data into a structured, real‑time intelligence layer
- Predictive analytics that map microbial patterns to drug response and therapeutic pathways
- Explainable models linking microbes, metabolites, and medications for clinician trust
- Seamless integration with EHR systems and clinical decision support tools
- Cloud‑based platform delivering instant recommendations without separate lab processing
- Continuous learning framework that updates recommendations as new microbial data become available