Computational health.
Disease does not happen without cause. Finding that cause — precisely, computationally, before more people suffer — is the mission of PTH Meridian's health division. We build tools that surface the biological signal hidden inside complex clinical, genomic and molecular data.
The health stack
Computational tools that ask the hard questions about disease causation and molecular analysis — and find answers in data that was always there.
Disease causation mapping at the computational level. HqA surfaces the biological, environmental and systemic causes of disease — connecting symptom patterns to root causes across genomic, clinical and epidemiological data. Shorter diagnostic odysseys. Clearer causal understanding.
Molecular network analysis for complex disease environments. MNTU traces nodes and connections in biological molecular networks — protein interactions, metabolic pathways, gene regulatory networks — to identify where disease processes originate and propagate.
The problems we address
People suffering longer than necessary because the biological signal is there and we lack the computational tools to read it.
Patients with rare diseases see an average of seven specialists and wait seven years before a correct diagnosis. The information exists. The computational bridge does not.
Drug-resistant infections projected to surpass cancer as a cause of death by 2050. Resistance genes spread faster than surveillance tracks them. Computational genomic surveillance could provide early warning.
Medical AI advances slowly because patient data cannot be shared without privacy violations. Zero-knowledge proofs — built in the security stack — allow hospitals to contribute to global disease models without sharing a single patient record.
Indigenous communities in Canada experience dramatically worse health outcomes across almost every measure. Computational tools to map causal chains and prioritize interventions are largely absent.
Four million people die annually from indoor air pollution caused by cooking fires. No electricity means no refrigeration for vaccines or insulin. Quantifying the health return on energy investment creates the evidence base for life-saving infrastructure.
COVID-19 was spreading globally for weeks before detection. Wastewater epidemiology, genomic surveillance and zoonotic spillover prediction could provide weeks of warning. The computational infrastructure for real-time pandemic early warning remains fragmented.
Disease does not occur without cause. Every cause leaves a biological signature somewhere in genomic sequences, clinical records, molecular interaction networks, environmental measurements and epidemiological patterns.
HqA and MNTU are built to close the gap between data that exists and understanding that does not yet. Open source, auditable and designed for the Canadian health research context first.
Privacy is foundational. Zero-knowledge proofs from the security stack mean patient data never leaves its institution — the proof travels, the data does not. PIPEDA compliant by design.
HqA and MNTU are in active development. We welcome collaboration from Canadian health researchers, genomicists and bioinformaticians.