A Framework For Motor Function Characterization in Autism Spectrum Disorder

Article Pathology

Image-Based Machine Learning Algorithms for Disease Characterization in the Human Type 1 Diabetes Pancreas

Xiaohan Tang et al.

Summary: Recent data suggests that type 1 diabetes not only affects the islets of Langerhans containing beta cells, but also the surrounding exocrine compartment. By using digital pathology and machine learning algorithms, researchers analyzed high-resolution images of human pancreata to compare tissue composition in individuals with or at risk for type 1 diabetes with those without diabetes. The study found that type 1 diabetes alters the exocrine area, acinar cell density, and size, with differences correlating with the presence of insulin-positive cells remaining in the pancreas.

AMERICAN JOURNAL OF PATHOLOGY (2021)

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Article Biotechnology & Applied Microbiology

Could Gait Biomechanics Become a Marker of Atypical Neuronal Circuitry in Human Development?-The Example of Autism Spectrum Disorder

Marine Jequier Gygax et al.

Summary: This paper integrates knowledge from neurosciences and biomechanics to outline the relationships between neuronal network maturation, behavior, and gait in human development. Using ASD as a case study, the absence of biological markers poses a challenge in correlating behavioral development with brain structure alterations. Gait biomechanics emerges as a potential motor phenotype and biomarker, which could be correlated to neuronal network maturation in both normal and atypical developmental trajectories, such as in ASD.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2021)

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Proceedings Paper Computer Science, Artificial Intelligence

CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From the State-of-The-Art to DynamicNet

Alberto Zancanaro et al.

Summary: This paper reviews recent studies on using deep learning for MI classification, introduces the DynamicNet tool for EEG classification, and demonstrates the superiority of deep learning approaches over traditional methods when applied to cross-subject classification tasks.

2021 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (CIBCB) (2021)

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Article Behavioral Sciences