Results 71 to 80 of about 3,494,638 (328)

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU

Applied Sciences
Developing interfaces for seizure diagnosis, often challenging to detect visually, is rising. However, their effectiveness is constrained by the need for diverse and extensive databases.
Laura López-Viñas, Jose L. Ayala, Francisco Javier Pardo Moreno   +2 more
doaj   +1 more source

Towards an Online Empathy Assisted Counselling Web Application [PDF]

EAI Endorsed Transactions on Context-aware Systems and Applications, 2020
INTRODUCTION: In today's society mental health is becoming increasingly important. As a result, more and more individuals need guidance and counselling.
Aarif Mawani, Lawrence Nderu
doaj   +1 more source

Unsupervised Ranking Model for Entity Coreference Resolution

, 2016
Coreference resolution is one of the first stages in deep language understanding and its importance has been well recognized in the natural language processing community.
Hovy, Eduard, Liu, Zhengzhong, Ma, Xuezhe   +2 more
core   +1 more source

Systemic T Cell Receptor Profiling Reveals Adaptive Immune Activation and Potential Immune Signatures of Diagnosis and Brain Atrophy in Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy is increasingly associated with immune dysregulation and inflammation. The T cell receptor (TCR), a key mediator of adaptive immunity, shows repertoire alterations in various immune‐mediated diseases. The unique TCR sequence serves as a molecular barcode for T cells, and clonal expansion accompanied by reduced overall TCR ...
Yong‐Won Shin, Sang Bin Hong, Yong Woo Shin, Inpyeong Hwang, Jaeseong Oh, Jihyeon Choi, Narae Kim, Jangsup Moon, Keun‐Hwa Jung, Kyung‐Il Park, Ki‐Young Jung, Kon Chu, Sang Kun Lee   +12 more
wiley   +1 more source

HHSD: Hindi Hate Speech Detection Leveraging Multi-Task Learning

IEEE Access, 2023
Hate speech is now a frequent occurrence on social media. Recently, the majority of study was devoted to identifying hate speech in languages with abundant resources (e.g., English).
Prashant Kapil, Gitanjali Kumari, Asif Ekbal, Santanu Pal, Arindam Chatterjee, B. N. Vinutha   +5 more
doaj   +1 more source

DCASE 2018 Challenge Surrey Cross-Task convolutional neural network baseline [PDF]

, 2018
The Detection and Classification of Acoustic Scenes and Events (DCASE) consists of five audio classification and sound event detection tasks: 1) Acoustic scene classification, 2) General-purpose audio tagging of Freesound, 3) Bird audio detection, 4 ...
Iqbal, Turab, Kong, Qiuqiang, Plumbley, Mark D., Wang, Wenwu, Xu, Yong   +4 more
core   +1 more source

SNUPN‐Related Muscular Dystrophy: Novel Phenotypic, Pathological and Functional Protein Insights

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SNUPN‐related muscular dystrophy or LGMDR29 is a new entity that covers from a congenital or childhood onset pure muscular dystrophy to more complex phenotypes combining neurodevelopmental features, cataracts, or spinocerebellar ataxia. So far, 12 different variants have been described.
Nuria Muelas, Pablo Iruzubieta, Alberto Damborenea, Laura Pérez‐Fernández, Inmaculada Azorín, Juan Carlos Jiménez García, Ana Töpf, Pilar Martí, Lorena Fores‐Toribio, María Manterola, Rosana Blanco‐Mañez, Oihane Pikatza‐Menoio, Sonia Alonso‐Martín, Volker Straub, Aitziber L. Cortajarena, Adolfo López de Munain, David De Sancho, Lorea Blázquez, Juan J. Vilchez   +18 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Deep Learning for Comprehensive Analysis of Retinal Fundus Images: Detection of Systemic and Ocular Conditions

Bioengineering
The retina offers a unique window into both ocular and systemic health, motivating the development of AI-based tools for disease screening and risk assessment.
Mohammad Mahdi Aghabeigi Alooghareh, Mohammad Mohsen Sheikhey, Ali Sahafi, Habibollah Pirnejad, Amin Naemi   +4 more
doaj   +1 more source