Physician-centered implementation, validated by outcomes.
NxGenKlinical's research work is grounded in real-world clinical deployment, with physician-led teams guiding implementation and outcome-based validation.
First deployment environment
HealthWatchers360
HealthWatchers360, led by Dr. Maryam Seddigh Tonekaboni, serves as NxGenKlinical's first real-world clinical deployment environment and proof-of-concept site. Dr. Seddigh serves as clinical advisor and research lead, helping guide physician-centered implementation and outcome-based validation.
Through this collaboration, NxGenKlinical is developed and refined alongside the physician-led teams who use it — keeping clinical judgment at the center and measuring what matters to patients and clinicians.
Clinical advisor & research lead
Dr. Maryam Seddigh Tonekaboni
Focus
Physician-centered implementation & outcome-based validation
Current research focus
Exploring what drives response, over time.
NxGenKlinical supports physician-guided research across hormonal and metabolic health, cardiovascular risk factors, gut-related clinical signals, and chronic care workflows.
Under the guidance of Dr. Maryam Seddigh Tonekaboni, NxGenKlinical is exploring how longitudinal biomarkers, patient-reported outcomes, and measured response data can help clarify which interventions are clinically meaningful over time.
One current area of interest examines the relationship between gut health, hormone metabolism, and outcome-based intervention tracking. This work is being developed within a physician-led clinical environment and is intended to support future validation, research design, and intellectual property strategy while keeping proprietary protocols and implementation methods confidential.
The data and models we work with
NxGenKlinical describes its data model at a high level while keeping proprietary clinical workflows and implementation methods confidential.
Multi-domain physiological data
Longitudinal signals drawn from across physiological domains, brought together in each patient's digital twin.
Longitudinal biomarkers
Biomarkers tracked over time, with the context needed to interpret change across the care journey.
Patient-reported outcomes
Patient-reported outcomes captured alongside clinical data to reflect the patient's experience over time.
Functional and metabolic signals
Functional and metabolic signals incorporated at a high level to broaden the picture of patient response.
Clinical response data
Response to physician-guided interventions recorded over time, helping teams see the link between an intervention and its outcome.
Intervention-response modeling
Intervention-response modeling that turns measured response into a continuously refined model of patient response.
Interested in strategic partnership, research collaboration, or investment conversations?
Request a conversation to discuss physician-centered implementation and outcome-based validation with our team.
Request a ConversationNxGenKlinical supports physician-led teams. It does not diagnose, treat, cure, or prevent disease, and it does not replace physician judgment.