About N1 Precision
N1 Precision was born from the experience of a father navigating the relentless complexities of Dravet Syndrome with his son. After years of meticulously logging seizures, tracking medications, and searching for patterns in the data, one thing became painfully clear: the dartboard approach to dosing — adjusting medications based on guesswork and waiting to see what sticks — was not good enough.
There had to be a better way. A way grounded in data, in statistical rigor, and in the kind of analysis that gives caregivers and neurologists a real foundation for decision-making. That conviction became the driving force behind this platform.
With over 26 years of professional software development experience building mission-critical systems for organizations like L3Harris, ManTech, and Two Six Technologies, John brings an enterprise engineering mindset to a deeply personal problem. This is not a weekend side project — it is a production-grade analytics platform designed with the same rigor as the defense and intelligence systems he has spent his career building.
N1 Precision was architected from day one for enterprise scalability, data integrity, and long-term reliability. Automated database backups ensure your health data is always safe. The platform is built to grow with you — whether you are tracking for one patient or collaborating with a care team across multiple providers.
Philosophy
Every feature in this platform is rooted in a set of core principles developed through years of real-world caregiving and data analysis.
Medication adjustments should be gradual and methodical. Rushing dosage changes obscures what is actually working. By taking a measured, incremental approach, we give the body time to respond — and we give the data time to reveal real trends rather than noise.
Gut feelings and anecdotal observations are not enough when making critical health decisions. Statistical analysis provides an objective foundation for understanding what is truly happening — separating correlation from coincidence and giving caregivers the confidence to advocate with data.
Large datasets become meaningful when you can see them. Interactive charts and visual timelines surface trends that would be invisible in a spreadsheet — from subtle seasonal patterns to the true impact of a medication change weeks after it was made.
Epilepsy is complex, and the tools you use should reflect that. This is a full analytic platform, not a simplified tracker. Complex conditions demand nuanced answers, and dumbing things down means missing the patterns that matter most.
Your data can help others facing the same battles. With opt-in data sharing, anonymized insights from your tracking can contribute to a collective understanding of seizure patterns, medication response data, and environmental triggers — because no family should have to start from zero.
Technology
N1 Precision is powered by industry-leading technologies chosen for reliability, performance, and long-term maintainability.
A production-grade Vue.js framework powering the frontend with server-side rendering, file-based routing, and a modular architecture built for performance at scale.
A flexible, document-based database with automated backups and enterprise-grade reliability. Your health data is stored securely with redundancy, so nothing is ever lost.
Anthropic's Claude powers intelligent analysis and natural language features, helping surface insights from your data that would take hours to find manually.
A versatile, high-performance language powering data processing pipelines, statistical analysis, and machine learning models that drive deeper insights from your seizure data.
HIPAA-eligible authentication via AWS Cognito with Google OAuth ensures your account is secure, with healthcare-grade encryption and session management.
A utility-first CSS framework enabling a responsive, accessible interface that works beautifully across all devices.
HIPAA-eligible cloud hosting on AWS with server-side rendering, global CDN distribution, and integrated CI/CD deployment pipeline.
Vision
Eight years of continuous development, driven by a single conviction: the data families collect every day can reshape how epilepsy is understood and treated.
A father sits down after another ER visit and writes the first seizure log. Built on Meteor.js with MongoDB — because the paper seizure diary the neurologist handed them at diagnosis was failing.
Seizure charts, cannabis product tracking, rescue medication management, and daily event triggers. The app grows from a log into an analytics tool because every new question demands a new feature.
Seizure cluster detection. Full moon correlation analysis. Seizure-free day badges. Calendar integration. Medication charts. The data starts revealing patterns that 15-minute appointments never could.
TensorFlow.js experiments. Polynomial regression. Response analytics. Multi-user accounts. The question shifts from "what happened" to "can software find the patterns human eyes miss?"
Weather and barometric pressure analysis. Water tracking. Height/weight with dose-by-weight calculations. Quality of life scoring. 71 feature modules across 2,835 files.
Same database, same domain knowledge, modern architecture. Nuxt 4, Vue 3, Tailwind CSS, AI-powered insights. The decision to rebuild from the ground up — not a migration, a reimagining.
32 analytics pages. 4 products. Pharmacokinetic modeling. t-SNE treatment embeddings. Cross-user diagnosis cohorts. A platform that could reshape how epilepsy is tracked — and eventually treated.
Patients have more data than their doctors. A family managing severe epilepsy generates hundreds of data points per month. They bring this to a 15-minute appointment where the neurologist reviews a paper diary and makes a medication adjustment based on pattern recognition.
What if the patterns were computed, not remembered? What if medication response was a measurable curve? What if treatment similarity was a mathematical embedding? What if years of data could be compared — anonymously, with consent — against every other family with the same diagnosis?
The N-of-1
In clinical research, "N-of-1" describes a trial with a single participant — an experiment designed to determine the best treatment for one specific person.
That's what this platform does. It treats every patient as their own clinical trial. Their data is the evidence. Their medication changes are the interventions. Their seizure rates are the outcomes. The analytics are the analysis.
Both questions matter. N1 Precision answers both — Insights and Clinical for the individual, Registry and Trials for the population.
Thirty-two analytics pages turn daily tracking into understanding. The AI doesn't diagnose — it reads the data and describes patterns in neutral, observational language. The interpretation belongs to the family and their doctor. The data belongs to the patient.
A neurologist managing 500 patients cannot track every trajectory from memory. N1 Precision Clinical gives them the rest of the picture — a window into the data the patient is already collecting, scoped by consent and audited at every access.
Clinical trials for rare epilepsies are chronically underpowered. N1 Precision Trials offers years of continuous, daily, patient-reported data — collected not for a study, but for life. The data researchers spend millions to collect already exists.
Disease registries are the backbone of rare disease research. N1 Precision Registry inverts the model — patients use Insights because it helps them, and if they choose to share, they contribute to a living registry that grows automatically.