Health & Fitness

The OncoNPC machine-learning model may help identify sites of origin for cancers whose origins are unknown, which could enable targeted tumor treatments.

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A study has shown that prenatal diagnosis, or diagnosis before a baby is born, is associated with earlier surgery for babies with congenital heart defects, the most common birth defects affecting nearly 1% of all live births. The association was demonstrated for critical defects (when heart surgery is required before the infant leaves the hospital) and certain types of noncritical defects, which constitute about 75% of all congenital heart defects.

from Top Health News -- ScienceDaily https://ift.tt/G1xi4Lp

The projected cost of caring for millions of individuals who have Alzheimer's disease (AD) worldwide will exceed a $1 trillion in a few years. In addition to the enormous health burden, patients and their caregivers experience financial, physical and psychological strain. A theory regarding repeated drug failure in AD is that patients undergoing experimental therapies are selected too late in the disease process. Therefore, it is important to identify patients at a high risk of progression to AD in early stages of the disease. To help identify persons who could benefit from early interventions, researchers from Boston University have developed a deep learning framework that can stratify individuals with mild cognitive impairment (MCI) based on their risk of advancing to AD.

from Top Health News -- ScienceDaily https://ift.tt/e0XSQME