AI System Outperforms Human Detection of Parasites in Stool Samples
Deep-learning model trained on 4,000 samples shows 98.6% agreement with manual review while identifying additional organisms missed by technologists.
Read MorePosted by CLP Edit Staff | Oct 24, 2025 | Gastrointestinal Infections |
Deep-learning model trained on 4,000 samples shows 98.6% agreement with manual review while identifying additional organisms missed by technologists.
Read MorePosted by CLP Edit Staff | Oct 24, 2025 | Emerging & Zoonotic Diseases |
A field-deployable test demonstrates high sensitivity in identifying low-level infections that traditional methods miss, potentially supporting elimination efforts.
Read MorePosted by CLP Edit Staff | Oct 16, 2025 | Sequencing Systems |
Multi-omics study reveals psychiatric comorbidities in bladder pain syndrome patients while demonstrating advantages in hematological malignancies and repeat expansion analysis.
Read MorePosted by CLP Edit Staff | Oct 9, 2025 | Diagnostic Technologies |
Researchers are developing a large-scale olfactory dataset to train artificial intelligence, potentially unlocking smell as a powerful tool for early disease detection.
Read MorePosted by CLP Edit Staff | Oct 9, 2025 | Infectious Diseases |
Two investigational diagnostics demonstrate significantly higher sensitivity than current CDC-recommended two-tier testing in Journal of Clinical Microbiology studies.
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