WRLD A.LIVE

03:001 report

• HemaNest-UNet++ and explainable vision transformer for acute lymphoblastic leukemia classification Nature

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01:002 reports

• A hybrid deep learning and ensemble approach for accurate prediction of hepatocellular carcinoma from sequence variants of hepatitis B virus (HBV) X gene Nature
• New SPARCS technology combines AI and microscopy to screen cells News-Medical

23:001 report

• NHS South East rolls out skin cancer AI that can discharge patients alone The Next Web

22:002 reports

• Infant neurodevelopmental impairment detection via large-scale motion screening with generative learning Nature
• SA-ADFQ: structure-aware activation distribution friendly quantization for vision transformers in medical image analysis Nature

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16:003 reports

• EQDA-Net: an enhanced quantum-inspired dragonfly algorithm integrated with efficientnet for brain tumor detection Nature
• Simple Blood Ratio Predicts Death Risk in Sepsis-Linked Lung Failure Patients Bioengineer.org
• Early prediction of sepsis in critically ill trauma patients using machine learning: a MIMIC-IV-based cohort study Nature