Infectious DiseaseAMRFungal resistanceCountermeasures

Infectious Disease

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.

Domain research lens

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.

June 2026 field state

A field where threat visibility is improving faster than the treatment pipeline.

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.

The domain thesis: infectious-disease diligence is not a list of pathogens. It is a routing problem across pathogen, resistance mechanism, patient context, diagnostic speed, and feasible development path.
What changed recently

Priority maps are more explicit.

WHO's 2024 bacterial priority list and CDC tracking make threat ranking more inspectable.

What is now measurable

Fungal surveillance is exposing the under-tooled threat.

CDC C. auris case tracking makes clinical expansion and resistance monitoring more visible.

What remains unresolved

The pipeline is mismatched to the threat.

Small resistant populations, diagnostic delay, weak economics, and fungal biology make conventional development fragile.

Recent research signals

The 2025-2026 update is a decision-gate wave.

Each signal below starts from the field: what changed, why it matters, and which research or buyer decision becomes more testable.

2024-2026 / Priority pathogens

WHO's updated bacterial priority list reframed AMR targeting.

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.

Why it matters

Pipeline and diagnostic investment should follow burden, resistance trends, transmissibility, and treatability rather than generic AMR concern.

Decision implication

Changes which pathogen-drug pairs deserve build, partner, or monitor status.

2026 / Candida auris

C. auris remains a rising urgent fungal threat.

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.

Why it matters

Fungal threat value depends on surveillance, identification, infection control, susceptibility testing, and antifungal-scarcity logic.

Decision implication

Changes whether antifungal programs need resistance-specific, broad-spectrum, or diagnostic-linked strategies.

2025 / Antibacterial development

FDA finalized flexible guidance for serious resistant bacterial disease.

FDA guidance assists development of antibacterial therapies for serious bacterial diseases in patients with limited or lacking effective alternatives.

Why it matters

Precision antibiotics may need narrower populations, flexible evidence, and pathogen-focused trial logic.

Decision implication

Changes trial design and commercial diligence for pathogen-focused countermeasures.

2025 / C. auris resistance biology

Fungal resistance work is exposing new target logic.

Recent C. auris resistance literature points to mechanisms and vulnerabilities that may help corner resistance rather than simply shifting susceptibility.

Why it matters

The antifungal field needs mechanisms that reduce escape pressure, not another marginal activity claim.

Decision implication

Changes whether a program is monitored as mechanistic leverage or avoided as undifferentiated antifungal activity.

Decision gates

What must be true before a buyer should build, fund, partner, monitor, avoid, or run the next study.

These are field-level gates first. The dossier library appears later as the set of existing Zemi products that can help investigate them.

Decision gate

Pathogen priority

Is the target a high-burden, high-resistance, treatability-limited threat?

Decision gate

Diagnostic timing

Can the test route therapy before empiric treatment has already decided outcome?

Decision gate

Resistance cornering

Does the mechanism reduce escape or merely shift resistance pressure?

Decision gate

Population feasibility

Can a trial enroll the right resistant population with interpretable endpoints?

Decision gate

Host-state fit

Does the intervention need immune rescue, microbiome routing, or source control?

Decision gate

Access economics

Can the product survive low-volume stewardship and procurement constraints?

Zemi Dossiers in this domain

The dossiers sit where new research creates hard buyer decisions.

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.

Primary Zemi Dossier

Invasive Fungal Disease & Antifungal Resistance

Maps fungal threat expansion against diagnostic timing, drug scarcity, resistance, toxicity, and host-risk stratification.

Why it belongs here

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.

109p report + 44-sheet workbook 60 evidence/source rows 72 claim rows; 57 excluded rows Antifungal Scarcity Stack 15 hypothesis rows 14 power rows
Primary Zemi Dossier

Precision AMR Countermeasures

Uses mutational supply, diagnostic timing, pathogen burden, and combination logic to assess durability against resistance escape.

Why it belongs here

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.

118p report + 36-sheet workbook 191 evidence/source rows 90 claim rows; 80 excluded rows Resistance-Cornering Stack 18 hypothesis rows 17 power rows
Adjacent / cross-domain

Epigenome Editing & Tunable Permanence

Classifies whether mitotic dilution, active erasure, or reactivation pressure will dominate before buyers commit to delivery, indication, or permanence strategy.

Why it belongs here

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.

96p report + 38-sheet workbook 68 evidence/source rows 70 claim rows; 83 excluded rows Durability-Limiting-Factor Classifier 16 hypothesis rows 34 power rows

From domain signal to Zemi Dossier

Request access to inspect the full research report, Evidence & Decision Workbook, power calculations, and release-audit surfaces behind each decision package.