The same drug. Different patients.
Wildly different outcomes.
Medicine is still largely population-based. A drug that works for 60% of patients is approved. The 40% who don't respond — or who have serious adverse reactions — are identified after the fact. Your CYP2D6 genotype determines whether codeine gives you analgesia or respiratory failure. Your HLA type determines whether abacavir triggers a potentially fatal hypersensitivity reaction. These interactions are knowable before the prescription is written. They just haven't been screened in time.
Every variable. One profile.
Before the first dose.
| Screen | What It Catches | Current Standard | 22Rx Approach |
|---|---|---|---|
| Pharmacogenomics (PGx) | Drug metabolism variants (CYP2D6, CYP2C19, TPMT) | Panel test, days | Genome-wide, minutes |
| Adverse reaction risk | HLA-B*57:01 (abacavir), HLA-B*15:02 (carbamazepine) | Specific allele test | Full HLA typing, simultaneous |
| Disease risk stratification | BRCA, Lynch syndrome, cardiac channelopathies | Targeted panels | Whole genome variant calling |
| Vaccine safety pre-screen | Myocarditis risk (mRNA vaccines), prior immunity | Not routinely done | Pre-administration profile |
| Unified point-of-care profile | All of the above, simultaneously | Days–weeks, fragmented | <10 min, single report |