107586 🆕 Must See

: By improving the accuracy of nasal bone assessment in the first trimester, it provides a more reliable tool for early fetal health monitoring. 2. Machine Learning: Adaptive Diversity Induced Reweighting

: Researchers proposed "Adaptive Diversity Induced Reweighting." This method uses a novel metric called "diversity" to measure the space spanned by a category's samples. 107586

: The study evaluates how psychological interventions can help manage metabolic risks, which are significantly higher in patients taking long-term antipsychotic medications. : By improving the accuracy of nasal bone

: The model uses a multi-task learning framework that simultaneously performs detection and classification, reducing human error in busy clinical environments. : The study evaluates how psychological interventions can

: Analyzing the link between metabolic health (like blood sugar and cholesterol) and cognitive function.

: To automatically detect defects and classify fetal nasal bone ultrasound images. The nasal bone is a critical marker for screening chromosomal abnormalities like Down syndrome.