Our approach

A rigorous investigation. Built around one person.

When a condition remains unexplained, the next step needs a clear reason. Our model combines deep phenotyping, genomics, AI-assisted research and biological hypothesis testing to build an evolving investigation for the individual.

An ongoing investigation: build the clinical picture, form a biological hypothesis, choose the next best step, then measure and refine. Each result shapes the next step, and the cycle repeats.

A connected investigation that keeps learning.

The sequence adapts to the case. Each result should refine the clinical picture, challenge an explanation or guide a meaningful next decision.

01

Listen and reconstruct the story

Bring together the person’s goals, family observations and records across years and specialties. Preserve where each finding came from and when it happened.

02

Build a deep, evolving phenotype

Map symptoms, signs, examinations, laboratory and blood tests, radiology, pathology, functional testing and treatment responses. Keep important normal or absent findings, timing, episodes, contradictions and gaps.

03

Connect genetics with the clinical picture

Interpret whole genome information, when appropriate, against the phenotype, family history and clinical course. Combine it with current biomedical literature and disease datasets; uncertain or negative results remain part of the investigation.

04

Rank explanations that can be tested

Our MD/PhD research hub uses AI-assisted analysis to compare diagnoses and biological mechanisms, with physicians guiding clinical interpretation. Ask which explanation fits, what conflicts with it, and what evidence can change the conclusion.

05

Choose the next best step

Prioritize a test or assessment by the question it answers, its ability to distinguish hypotheses, and whether the result could change care. Consider the burden, limitations and value of the information.

06

Work backward from the biology

For a suspected pathway or mechanism, identify the findings it should produce and the measurements that could challenge it. Use those predictions to guide targeted investigation and clinically justified treatment questions.

07

Evaluate the individual response

Where appropriate, design a supervised N-of-1 treatment evaluation with a baseline, comparison periods when suitable, and predefined measures of benefit and harm. Specify how results guide continuation, change or stopping.

08

Reassess and refine the plan

Bring each result back into the case. Update the phenotype, reconsider hypotheses and tailor the next step to what has been learned and what matters in daily life.

N-of-1 means a structured question, measured carefully.

For suitable clinical questions, our approach uses individually designed treatment evaluations. A formal N-of-1 trial may compare treatment periods within one person, using randomization or blinding when feasible. The design must fit the condition, treatment and outcome being measured.

The protocol defines a baseline, outcomes that matter to the person, timing, monitoring and stopping rules, with informed consent and appropriate clinical and research oversight. A treatment response can guide the next hypothesis; it does not by itself prove a biological cause.

Better questions. More informed next steps.

The goal is an explanation and an individualized care strategy, with quality of life at the center.