
ALT 🦠 Which Mycobacterium is causing the infection—and can we identify it within hours? 🔬 A new #LabMedDiscovery commentary highlights CANDI, a CRISPR–nanodroplet platform enabling rapid, multiplexed, species-level identification of clinically relevant mycobacteria. 🧬 Broad-range amplification 🎯 CRISPR-based species recognition 💧 Nanodroplet barcoding ⚡ Results within hours 🔎 Detection of mixed infections Prof. Dakang Xu’s team discusses how this innovative strategy could reshape rapid mycobacterial diagnostics—and its potential for broader multiplex molecular testing. 📖 Yang Y, Xu J, Xu D. LabMed Discovery. 2026;3(3):100149. 🔗 https://doi.org/10.1016/j.lmd.2026.100149 #CRISPR #Mycobacteria #MolecularDiagnostics #LaboratoryMedicine #Microbiology #Diagnostics

ALT The biggest challenge for AI in pathology is no longer accuracy. It is adoption. Why do powerful AI models remain research prototypes while clinical implementation remains limited? This review reveals the hidden barriers: 🧬 Data instability 🏥 Workflow mismatch 🔐 Trust and governance gaps A new roadmap is proposed to bridge the gap between AI innovation and real-world clinical value.

















