# Point-of-care molecular diagnostics and drug-resistance mechanisms in neglected infectious diseases: current advances and future therapeutic opportunities

**Authors:** Qi Zhang, Xiajun Zhang, Jie Yang, Hongliang Li

PMC · DOI: 10.3389/fcimb.2026.1769679 · Frontiers in Cellular and Infection Microbiology · 2026-02-26

## TL;DR

This paper discusses how point-of-care molecular diagnostics can help detect and manage drug-resistant neglected infectious diseases more effectively.

## Contribution

The paper highlights recent advances in molecular diagnostics and their potential to transform precision therapy and AMR surveillance.

## Key findings

- Molecular POC technologies offer near-laboratory accuracy in less than 30 minutes.
- AI and cloud-based systems enhance diagnostics and antimicrobial stewardship.
- Next-generation POC platforms improve sensitivity and understanding of drug resistance in TB and malaria.

## Abstract

The rising burden of neglected infectious diseases and the accelerating spread of antimicrobial resistance (AMR) demand rapid, accurate, and decentralized diagnostic solutions. Point-of-care (POC) molecular diagnostics enable early diagnosis and resistance profiling during the clinical encounter, without reliance on centralized laboratories, which is particularly important in low-resource settings. Molecular POC technologies are being developed around the following advances: isothermal nucleic acid amplification technologies, rapid polymerase chain reaction (PCR), CRISPR-based diagnostic detection technologies, nanomaterials-enabled biosensors, and microfluidic platforms for sample-to-results with near laboratory-quality accuracy within clinically relevant timeframes (typically < 30 minutes). The combination of artificial intelligence (AI) and cloud-based digital health systems supports the automated interpretation and provision of real-time surveillance and antimicrobial stewardship. Next-generation molecular POC platforms provide higher sensitivity and mechanistic insights into drug-resistance in TB, malaria, and bacterial infections. Barriers include clinical validation, cost, scalability, and equitable access. The convergence of molecular diagnostics, nanotechnology and AI-powered analytics leads to future-oriented, transformative opportunities in precision therapy areas, AMR surveillance and infectious disease preparedness.

## Linked entities

- **Diseases:** TB (MONDO:0018076), malaria (MONDO:0005136)

## Full-text entities

- **Diseases:** infectious disease (MESH:D003141), TB (MESH:D014390), malaria (MESH:D008288), bacterial infections (MESH:D001424)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12979382/full.md

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12979382/full.md

## References

59 references — full list in the complete paper: https://tomesphere.com/paper/PMC12979382/full.md

---
Source: https://tomesphere.com/paper/PMC12979382