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More than words: Social cognition across variants of primary progressive aphasia
(Pergamon-Elsevier Science Ltd, 2019-05)
Although primary progressive aphasia (PPA) is clinically typified by linguistic impairments, emerging evidence highlights the presence of early deficits in social cognition. This review systematically describes the latter ...
EEG Classification during Scene Free-Viewing for Schizophrenia Detection
(Institute of Electrical and Electronics Engineers Inc., 2019)
Currently, the diagnosis of schizophrenia is made solely based on interviews and behavioral observations by a trained psychiatrist. Technologies such as electroencephalography (EEG) are used for differential diagnosis and ...
Immunologic biomarkers in peripheral blood of persons with tuberculosis and advanced HIV
(Frontiers Media, 2022)
Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction
(Frontiers Media S.A., 2020-06)
Recombinant DNA technology has, in the last decades, contributed to a vast expansion of the use of protein drugs as pharmaceutical agents. However, such biological drugs can lead to the formation of anti-drug antibodies ...
Tracking the impact of translational research in psychiatry: state of the art and perspectives
(London, 2012)
Personalized treatments have become a primary goal in translational psychiatric research. They include the identification of neural circuits associated with psychiatric disorders and definition of treatment according to ...
Breast Cancer Detection by Means of Artificial Neural Networks
(IntechOpen, 2017-12-20)
Breast cancer is a fatal disease causing high mortality in women. Constant efforts are
being made for creating more efficient techniques for early and accurate diagnosis.
Classical methods require oncologists to examine ...
Análisis de conectividad funcional de la dinámica neuroenergética del TDAH = Functional Connectivity Analysis of Neuroenergetic Dynamics for ADHD
(Pereira : Universidad Tecnológica de PereiraFacultad de Ingenierías Eléctrica, Electrónica y Ciencias de la ComputaciónMaestría en Ingeniería Eléctrica, 2016)
Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach.
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be complemented by computational decision-support methods to objectively ...
Neuroanatomical comparison of the "Word" and "Picture" versions of the free and cued selective reminding test in alzheimer's disease
(IOS Press, 2018)
Episodic memory tests with cued recall, such as the Free and Cued Selective Reminding Test (FCSRT), allow for the delineation of hippocampal and prefrontal atrophy contributions to memory performance in Alzheimer's disease ...