Priority maps are more explicit.
WHO's 2024 bacterial priority list and CDC tracking make threat ranking more inspectable.
As of June 2026, infectious disease is defined by uneven threat visibility: bacterial priority lists are clearer, Candida auris keeps expanding, antifungal resistance is under-tooled, and precision countermeasures depend on faster diagnostics, host-state routing, and development pathways that fit small resistant populations.
This page tracks pathogen-drug pairs, resistance rise, diagnostic timing, host vulnerability, surveillance gaps, and the development paths that can work when resistant populations are small and urgent.
The strongest work combines surveillance, rapid diagnostics, drug-development flexibility, fungal biology, and host vulnerability mapping to decide where scarce countermeasure effort should go.
Resistance, pathogen threat ranking, fungal disease, host vulnerability, diagnostics, antimicrobial precision, surveillance gaps, and countermeasure design.
WHO's 2024 bacterial priority list and CDC tracking make threat ranking more inspectable.
CDC C. auris case tracking makes clinical expansion and resistance monitoring more visible.
Small resistant populations, diagnostic delay, weak economics, and fungal biology make conventional development fragile.
Each signal below starts from the field: what changed, why it matters, and which research or buyer decision becomes more testable.
WHO's 2024 BPPL covers 24 pathogens across 15 families, including Gram-negative bacteria resistant to last-resort drugs and other high-burden resistant pathogens.
Pipeline and diagnostic investment should follow burden, resistance trends, transmissibility, and treatability rather than generic AMR concern.
Changes which pathogen-drug pairs deserve build, partner, or monitor status.
CDC reported 6,304 new U.S. clinical C. auris cases in 2024 and notes cases have increased each year since the first U.S. case was reported in 2016.
Fungal threat value depends on surveillance, identification, infection control, susceptibility testing, and antifungal-scarcity logic.
Changes whether antifungal programs need resistance-specific, broad-spectrum, or diagnostic-linked strategies.
FDA guidance assists development of antibacterial therapies for serious bacterial diseases in patients with limited or lacking effective alternatives.
Precision antibiotics may need narrower populations, flexible evidence, and pathogen-focused trial logic.
Changes trial design and commercial diligence for pathogen-focused countermeasures.
Recent C. auris resistance literature points to mechanisms and vulnerabilities that may help corner resistance rather than simply shifting susceptibility.
The antifungal field needs mechanisms that reduce escape pressure, not another marginal activity claim.
Changes whether a program is monitored as mechanistic leverage or avoided as undifferentiated antifungal activity.
These representative programs and research fronts frame the active field before the page maps Zemi Dossiers into it.
The 2024 BPPL gives antibiotic R&D a sharper target set, especially resistant Gram-negative organisms, drug-resistant tuberculosis, and other high-burden pathogens.
Fungal threatCDC tracking and AR Lab Network data make C. auris expansion and resistance visible enough to force diagnostic, infection-control, and antifungal-development decisions.
Clinical developmentFDA's unmet-need guidance keeps narrow resistant populations on the table, but trial feasibility and interpretable endpoints remain the commercial bottleneck.
Resistance mechanismsC. auris epigenetic and metabolic vulnerability work is testing whether programs can corner resistance rather than add another marginal antifungal activity claim.
Host statePrecision countermeasures increasingly depend on whether the patient's host state makes pathogen targeting sufficient or requires immune, microbiome, or source-control logic.
These are field-level gates first. The dossier library appears later as the set of existing Zemi products that can help investigate them.
Is the target a high-burden, high-resistance, treatability-limited threat?
Can the test route therapy before empiric treatment has already decided outcome?
Does the mechanism reduce escape or merely shift resistance pressure?
Can a trial enroll the right resistant population with interpretable endpoints?
Does the intervention need immune rescue, microbiome routing, or source control?
Can the product survive low-volume stewardship and procurement constraints?
Each dossier card uses stats from the actual research report manifest and Evidence & Decision Workbook, including pages, workbook sheets, evidence/source rows, claim rows, power rows, and decision instruments where present.
Maps fungal threat expansion against diagnostic timing, drug scarcity, resistance, toxicity, and host-risk stratification.
Which antifungal or diagnostic programs address the binding scarcity layer, and what evidence would change countermeasure priority?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Uses mutational supply, diagnostic timing, pathogen burden, and combination logic to assess durability against resistance escape.
Which AMR countermeasures reduce escape paths enough to justify development, deployment, or monitoring priority?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
Classifies whether mitotic dilution, active erasure, or reactivation pressure will dominate before buyers commit to delivery, indication, or permanence strategy.
Which epigenome-editing programs have a defensible durability strategy, and what decay force would erase the imposed mark before benefit is proven?
Pairs the research report with workbook evidence rows, claim discipline, decision instruments, power calculations, and next-study surfaces.
These are the developments most likely to change the field map, evidence posture, or next-study priorities.
More current estimates would change which pathogen-drug pairs deserve build, partner, monitor, or avoid decisions.
C. aurisRising resistance to first-line fungal therapy would re-rank antifungal and diagnostic priorities.
Development pathwayNew approvals or complete response letters in narrow resistant populations would reset evidence expectations.
Host-pathogen routingThe highest-value precision programs may be those that pair pathogen ID with host vulnerability and source-control decisions.
The public page stays readable, but the underlying domain model tracks source-linked developments that change evidence posture, buyer decisions, or next-study priorities.
The domain page now treats pathogen ranking, treatability, and trial feasibility as linked gates.
2026 / C. auris Fungal resistance remains under-tooled relative to visibility.Surveillance is improving faster than the antifungal pipeline, which makes diagnostics and infection control part of the innovation map.
2025 / FDA guidance Narrow countermeasures need narrow-population evidence logic.Regulatory flexibility helps only if the diagnostic and enrollment strategy can find the right patients in time.
Request access to inspect the full research report, Evidence & Decision Workbook, power calculations, and release-audit surfaces behind each decision package.