A group of researchers from the Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) took 4th place in the international MRI-based adolescent intelligence prediction competition. For the first time ever, the Skoltech scientists used ensemble methods based on deep learning 3D networks to deal with this challenging prediction task.
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A Better Testing Method for Patients with Parkinson's Disease
Parkinson's disease is a neurodegenerative disorder that manifests through symptoms such as tremor, slow movements, limb rigidity and gait and balance problems. As such, nearly all diagnostic testing revolves around how a patient moves and requires the patient to walk for extensive distances and amounts of time.
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Pros and Cons of Mommy Mobile Apps
Mobile phone apps are increasingly being used to support breastfeeding decisions - sometimes at a cost, a Flinders University study indicates. The objective approach of most infant feeding (IF) apps gives mothers a perception of greater control, confidence and efficiency at a time of transition and stress in the early stages of parenting an infant, the study found.
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Astrophysics and AI may Offer Key to Early Dementia Diagnosis
Crucial early diagnosis of dementia in general practice could improve thanks to a computer model designed in a collaboration between Brighton and Sussex Medical School (BSMS) and astrophysicists at the University of Sussex.
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Free Tool Simplifies Cancer Research
Every cell contains a vast number of proteins, each of which has a specific function, for example as a receptor for another molecule or an enzyme that catalyses chemical reactions. Disorders of such mechanisms can seriously affect a cell and cause diseases such as cancer, in which the sick cell functions in a fundamentally different way to a healthy cell.
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New Software Tool Uses AI to Help Doctors Identify Cancer Cells
UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images - giving clinicians a powerful way of predicting patient outcomes.
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Artificial Intelligence-Based Algorithm for Intensive Care of Traumatic Brain Injury
Traumatic brain injury (TBI) is a significant global cause of mortality and morbidity with an increasing incidence, especially in low-and-middle income countries. The most severe TBIs are treated in intensive care units (ICU), but in spite of the proper and high-quality care, about one in three patients dies.
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