AI merges patient records and pathogen DNA
By combining complete electronic health records with bacterial genomes, a new AI platform predicts sepsis outcomes far better than traditional clinical scores.
August 7, 2026
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Discover the newest research about AI innovations in 😷 Infectious Diseases.
AI predicts immune failure in HIV patients
Static blood tests are failing HIV patients who seem healthy on paper but remain at risk of silent immune failure.
August 6, 2026
AI targets blood tests to find missed infections
Hospitals waste millions of blood culture tests on low-risk patients while missing critical infections, but a new machine learning model shows we can find more cases without running a single extra test.
July 20, 2026
AI still lags behind doctors on antibiotic choices
A new double-blind trial reveals that specialized medical AI still cannot match human doctors when prescribing antibiotics for complex hospital infections.
July 14, 2026
Disentangling Confounders from Pathology in Long-COVID Trajectory Prediction for Women: An Interpretable Large-Language-Model Approach
A new language model attempts to solve a major diagnostic bias by separating normal hormonal transitions from actual viral damage in women.
June 25, 2026
AI designs new antibiotic for drug-resistant infections
Generative AI just bypassed decades of traditional chemistry to design a viable antibiotic from scratch, but the real test lies in the clinical pipeline.
June 18, 2026
Negative-Ion Mode MALDI-TOF MS Combined with Machine Learning for the Rapid Identification of Colistin-Resistant E. cloacae Complex
A new machine learning workflow cuts the detection time for superbugs from days to sixty minutes, shifting the battle against drug-resistant hospital infections.
June 14, 2026
AutoML predicts hospital infections in the ICU
Off-the-shelf automated machine learning can flag deadly hospital-acquired infections, but only if hospitals feed them the right clinical data.
June 13, 2026
Diagnostic accuracy of artificial intelligence versus 263 pediatric clinicians for childhood exanthems.
AI vs. Pediatric Clinicians: ChatGPT (86.9%) and Gemini (82.0%) excel in diagnosing childhood exanthems. 🤖👶
May 11, 2026
Study Reveals AI Tools Can Misinterpret Patient Data in Electronic Records
AI tools may misinterpret patient data in electronic records, leading to inaccuracies. Human oversight remains essential for data integrity. 🏥🔍
December 18, 2025