Services
The clinical, population health, translational, and economic evidence behind coverage and reimbursement
Market sizing, portfolio planning, go-to-market, partnership development, and pricing calculations
Pilot standup, contract negotiation, and the publications, guidelines, and KOL engagement that move a technology to standard-of-care.
Who We Serve
Product Sectors
The central commercial challenge in molecular diagnostics is rarely proving that an assay or device works, but instead, convincingly demonstrating clinical utility. This includes showing that the test changes physician decision-making, supports real-world action, improves patient outcomes, offers a net benefit over the standard of care, and has an acceptable benefit-risk profile. It must also justify its price against an evidence bar that shifts with each intended use.
The sector’s primary focus is increasingly shifting toward AI and ML embedded within broader digital technologies, including platforms, tools, and devices. This makes evidence generation and adoption challenging, as strong retrospective performance must hold up prospectively across new use cases and populations, earning the trust required for clinicians to act.
In biopharma, launch complexity increasingly lies not only in the molecule itself, but also in the biomarker that determines which patients receive it and the evidence used to justify a price that may reach millions of dollars. Payers are particularly skeptical when high upfront costs for one-time or infrequently administered therapies rest largely on surrogate endpoints, creating uncertainty about durability and a heightened financial risk.
Diagnostic Tests
- In Vitro Diagnostics
- Laboratory Developed
- Tests (LDTs)
- Laboratory (Types)
- Pathology (e.g., biopsy)
- Molecular (OMICS)
- Point-of-Care
Prognostics / Risk Score Tests
Research Use Only (RUO) Devices
- Instruments
- Kits
Medical Equipment
- Imaging Systems (e.g., MRI, CT, Ultrasound)
- Therapeutic Devices
- Implantable Devices
- Surgical Instrumentation
- Monitoring / Wearables
Targeted Therapy and Dose Selection (Personalized Medicine)
Drug Discovery
Image Analysis (e.g., Digital Pathology)
Clinical Decision Support
Disease Diagnosis & Risk Analysis (e.g., Polygenic Risk Score)
Identification of OMICS Biomarkers and Therapy Targets
Mobile Apps
- Fitness / Wellness
- Chronic Disease Monitoring
- Mental Health
- Telehealth
Remote Patient Monitoring (e.g., Blood Pressure, Pulse Oximeter, etc.)
Health Information Technology (HIT)
- EHR Systems
- Patient Portals
- Telemedicine
- Research / Trial Participant Recruitment
Virtual Reality (for Training, Education, etc.)
RNA Therapies and Vaccines
Cell Therapies (e.g., CAR-T)
Gene Editing (e.g., CRISPR-Cas9)
Monoclonal Antibodies and TKI’s
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