Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.
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http://dx.doi.org/10.1146/annurev-clinpsy-081219-093304 | DOI Listing |
Brief Bioinform
November 2024
Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, 131 Dong'an Road, 200032 Shanghai, China.
Proteins can be represented in different data forms, including sequence, structure, and surface, each of which has unique advantages and certain limitations. It is promising to fuse the complementary information among them. In this work, we propose a framework called ProteinF3S for enzyme function prediction that fuses the complementary information across protein sequence, structure, and surface.
View Article and Find Full Text PDFConf Proc (IEEE Colomb Conf Commun Comput)
August 2024
School of Electronic and Electrical Engineering, Sungkyunkwan University, South Korea.
A new pneumonia detection method is proposed to provide both pneumonia detection in respiratory sound signals and wheeze and crackle discrimination when pneumonia episodes are detected. In the proposed method, two-step hierarchy, classifying pneumonia in the first step and discriminating wheezing and crackling in the second step, is considered; the conventional pneumonia detection method is modified to improve pneumonia detection performance, while wheezing and crackling discrimination functionality is added to facilitate the application of appropriate remedies for each case. We used resampling techniques to address the imbalance in the ICBHI pneumonia dataset.
View Article and Find Full Text PDFMusic genres classification poses a formidable challenge as it necessitates capturing the intricate and varied characteristics of musical signals. In this study, an innovative approach is presented to classify the music genres using the Capsule Neural Network (CapsNet). The CapsNet model optimized by an advanced version of Triangulation Topology Aggregation Optimizer (ATTAO).
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Centro Nacional de Análisis Genómico, Barcelona, Spain.
The recent development of genetic lineage recorders, designed to register the genealogical history of cells using induced somatic mutations, has opened the possibility of reconstructing complete animal cell lineages. To reconstruct a cell lineage tree from a molecular recorder, it is crucial to use an appropriate reconstruction algorithm. Current approaches include algorithms specifically designed for cell lineage reconstruction and the repurposing of phylogenetic algorithms.
View Article and Find Full Text PDFSci Rep
December 2024
Laboratoire Campus de Biotechnologies Végétales, Département de Biologie Végétale, Faculté des Sciences et Techniques, Université Cheikh Anta Diop, Dakar-Fann, Dakar, 10700, Senegal.
Cowpea is a seed legume, important for food and nutritional security in Africa's arid and semi-arid zones. Despite its importance, cowpea is experiencing a loss of genetic diversity due to climate change. Therefore, this study aimed to evaluate the genetic variability of 33 cowpea mutant collections using 20 SSR and 13 ISSR markers.
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