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Article
Open AccessEquity in action: The Diagnostic Working Group of The Undiagnosed Diseases Network International
Rare diseases are recognized as a global public health priority. A timely and accurate diagnosis is a critical enabler for precise and personalized health care. However, barriers to rare disease diagnoses are ...
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Article
Automated reading level classification model based on improved orbital pattern
Automatic reading level for detection and classification is a challenging problem in machine learning. A multilevel feature extraction-based self-organized model may be useful to overcome this hurdle without u...
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Article
Teachers’ Educational Experiences and Preparedness in Teaching Students with Autism
The intake of students with autism is increasing in inclusive classrooms. Teacher preparedness in teaching these students is an essential requirement for effective education. Little is known about teachers’ cu...
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Article
Artificial intelligence assisted tools for the detection of anxiety and depression leading to suicidal ideation in adolescents: a review
Epidemiological studies report high levels of anxiety and depression amongst adolescents. These psychiatric conditions and complex interplays of biological, social and environmental factors are important risk ...
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Article
Open AccessInternational Undiagnosed Diseases Programs (UDPs): components and outcomes
Over the last 15 years, Undiagnosed Diseases Programs have emerged to address the significant number of individuals with suspected but undiagnosed rare genetic diseases, integrating research and clinical care ...
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Article
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Modern computer vision algorithms are based on convolutional neural networks (CNNs), and both end-to-end learning and transfer learning modes have been used with CNN for image classification. Thus, automated b...
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Article
Open AccessSpinocerebellar ataxia type 29 due to mutations in ITPR1: a case series and review of this emerging congenital ataxia
Spinocerebellar ataxia type 29 (SCA29) is an autosomal dominant, non-progressive cerebellar ataxia characterized by infantile-onset hypotonia, gross motor delay and cognitive impairment. Affected individuals e...