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Babies born with low birth weight (less than 2.5 kg) are 20 times more likely to die. They are also more likely to develop neurological and cardiovascular diseases, diabetes, and growth problems later ...
Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.
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News-Medical.Net on MSNNew machine learning model brings transparency to risk prediction in medulloblastomaMedulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes.
Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...
A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.
Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To ...
Long-read sequencing technologies analyze long, continuous stretches of DNA. These methods have the potential to improve researchers' ability to detect complex genetic alterations in cancer genomes.
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...
Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...
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News Medical on MSNAI Reveals Key Predictors of Lifelong Brain HealthA new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive ...
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