A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…This article presents a novel review of Machine Learning (ML) and Deep Learning (DL) techniques for PD detection and progression monitoring, offering new perspectives by integrating diverse data sources. We examine the public datasets recently used in studies, including audio recordings, gait analysis, and medical imaging. …”
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Physical activity relates to carotid plaque vulnerability in older persons with subclinical carotid atherosclerosisResearch in context by Luoshiyuan Zuo, Maryam Kavousi, Julie A.E. Van Oortmerssen, Trudy Voortman, M Kamran Ikram, Daniel Bos

“…This work was further supported by the Leducq Foundation COMET Network. The funder of the study had no role in study design, data collection, data analysis, data interpretation, writing, or submission of the report.…”
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Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection by Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani

“…There are several methods based on machine learning to detect MEL from dermoscopic images. However, increasing the accuracy of detection is still challenging. …”
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Long-Term Blood Pressure Variability and Risk of Age-Related Macular Degeneration in Older Adults: The ALIENOR Study by Blondy Kayembe-Mulumba, MD, MPH, Karen Leffondré, PhD, Bénédicte M.J. Merle, PhD, Jean-François Korobelnik, MD, PhD, Catherine Helmer, MD, PhD, Christophe Tzourio, MD, PhD, Cécile Delcourt, PhD, Audrey Cougnard-Grégoire, PhD, Marie-Noëlle Delyfer, MD, PhD

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Role of information technology in enhancing competitive priorities: Evidence from Yemeni pharmaceutical sector by Khadeeja Aljaradi, Ahmad Alshami

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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…In the current BCI research context, apart from predicting extremity movements, recent BCI studies have been interested in accurately predicting finger movements of the same hand using different pattern recognition methods over EEG data collected based on motor imagery (MI), through which a mental image of the desired action is generated when a person ideally simulates or imagines carrying out a certain motor task. …”
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Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry by Valeria Di Stefano, Martina D’Angelo, Francesco Monaco, Annarita Vignapiano, Vassilis Martiadis, Eugenia Barone, Michele Fornaro, Luca Steardo, Marco Solmi, Mirko Manchia, Luca Steardo

“…Recent advancements in functional magnetic resonance imaging (fMRI) and artificial intelligence (AI) have revolutionized the understanding and management of this condition. …”
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Quantitative study of selected Facebook marketing communication engagement factors in the optics of different post types by Ľudovit Nastišin, Richard Fedorko, Vladimir Vavřečka, Radovan Bačik, Martin Rigelsky

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Correlated Resting-State Functional MRI Activity of Frontostriatal, Thalamic, Temporal, and Cerebellar Brain Regions Differentiates Stroke Survivors with High Compared to Low Depre... by Peter Goodin, Gemma Lamp, Rishma Vidyasagar, Alan Connelly, Stephen Rose, Bruce C. V. Campbell, Tamara Tse, Henry Ma, David Howells, Graeme J. Hankey, Stephen Davis, Geoffrey Donnan, Leeanne M. Carey

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Deep Learning-Based Postural Asymmetry Detection Through Pressure Mat by Iker Azurmendi, Manuel Gonzalez, Gustavo García, Ekaitz Zulueta, Elena Martín

“…In this paper we will discuss the application of deep learning algorithms in the analysis of pressure data for the detection of postural asymmetries in 139 patients aged 3 to 20 years. …”
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Single-cell sequencing unveils the transcriptomic landscape of castration-resistant prostate cancer-associated fibroblasts and their association with prognosis and immunotherapy re... by Yifeng Qiu, Yuhan Wang, Jiahe Liu, Kai Sun, Baohua Liu, Qi Hou

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The Evolution of Generative AI: Trends and Applications by Maria Trigka, Elias Dritsas

“…Generative artificial intelligence (AI) has revolutionized AI by enabling high-fidelity content creation across text, images, audio, and structured data. This survey explores the core methodologies, advancements, applications, and ongoing challenges of generative AI, covering key models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Transformer-based architectures. …”
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Multifaceted roles of Afghan women immigrants in Peshawar beyond their precarious legal and social status by Kashif Iqbal

“…The qualitative research method was employed by conducting 19 in-depth interviews with Afghan women immigrants, reaching data saturation. Thematic narrative analysis was used to explore the lived experiences (multifaceted role) of participants and reveal recurring themes. …”
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Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

“…All estimation methods require exploratory data analysis, and numerous statistical techniques can be employed to analyze this data. …”
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DIGITAL MOBILITY OF THE FUTURE SPECIALIST: CURRENT TRENDS by Leonov Maksym

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The Effect of Swallowing Action Observation Therapy on Resting fMRI in Stroke Patients with Dysphagia by Ming Zeng, Zhongli Wang, Xuting Chen, Meifang Shi, Meihong Zhu, Jingmei Ma, Yunhai Yao, Yao Cui, Hua Wu, Jie Shen, Lingfu Xie, Jianming Fu, Xudong Gu

“…In order to assess the differences in mfALFF values between patients before treatment and HCs, the fractional amplitude of low-frequency fluctuations (fALFF) in three frequency bands (conventional frequency band, slow-4, and slow-5) were calculated for fMRI data. The significant brain regions were selected as regions of interest (ROIs) for subsequent analysis. …”
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A semantic strength and neural correlates in developmental dyslexia by Sladjana Lukic, Sladjana Lukic, Sladjana Lukic, Fei Jiang, Maria Luisa Mandelli, Maria Luisa Mandelli, Ting Qi, Sarah M. Inkelis, Sarah M. Inkelis, Emily Rosenthal, Emily Rosenthal, Zachary Miller, Zachary Miller, Emma Wellman, Emma Wellman, Silvia A. Bunge, Silvia A. Bunge, Silvia A. Bunge, Maria Luisa Gorno-Tempini, Maria Luisa Gorno-Tempini, Christa Watson Pereira, Christa Watson Pereira

“…Differential dynamic rs-fMRI connectivity (shorter average dwell time and greater brain state switches) was observed between the high and average groups in a large-scale bilateral frontal-temporal-occipital network.DiscussionThese data demonstrate that a subgroup of children with dyslexia perform above average on semantic fluency tasks and their performance is strongly linked to distinct psycholinguistic patterns and differences in a task-free resting-state brain network, which includes regions previously implicated in semantic processing. …”
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Impact of Y chromosome loss on the risk of Parkinson's disease and progressionResearch in context by Junhao Wang, Xinyi Chen, Wenxuan Du, Cha Lin, Yu Liao, Jean-Christophe Corvol, Jodi Maple-Grødem, Meghan C. Campbell, Alexis Elbaz, Suzanne Lesage, Alexis Brice, Michael A. Schwarzschild, Pille Taba, Sulev Kõks, Guido Alves, Ole-Bjørn Tysnes, Joel S. Perlmutter, Baijayanta Maiti, Jacobus J. van Hilten, Roger A. Barker, Caroline H. Williams-Gray, Clemens R. Scherzer, Ganqiang Liu, Ganqiang Liu, Rebecca R. Valentino, Zhixiang Liao, Joseph J. Locascio, Jean-Christophe Corvol, Xianjun Dong, Jodi Maple-Grødem, Meghan C. Campbell, Alexis Elbaz, Suzanne Lesage, Alexis Brice, Graziella Mangone, John H. Growdon, Albert Y. Hung, Michael A. Schwarzchild, Michael T. Hayes, Anne-Marie Wills, Todd M. Herrington, Bernard Ravian, Ira Shoulson, Pille Taba, Sulev Kõks, Thomas G. Beach, Florence Cormier-Dequaire, Guido Alves, Ole-Bjørn Tysnes, Joel S. Perlmutter, Peter Heutink, Jacobus J. van Hilten, Meike Kasten, Brit Mollenhauer, Claudia Trenkwalder, Christine Klein, Roger A. Barker, Caroline H. Williams-Gray, Johan Marinus, Clemens R. Scherzer

“…In the Parkinson's Progression Markers Initiative (PPMI) cohort, we further compared brain structure using T1-weighted magnetic resonance imaging (MRI) scans, and carried out brain network functional connectivity analysis based on resting-state functional MRI (rs-fMRI) datasets. …”
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Human multiethnic radiogenomics reveals low-abundancy microRNA signature in plasma-derived extracellular vesicles for early diagnosis and molecular subtyping of pancreatic cancer by Jianying Xu, Wenjie Shi, Yi Zhu, Chao Zhang, Julia Nagelschmitz, Maximilian Doelling, Sara Al-Madhi, Ujjwal Mukund Mahajan, Maciej Pech, Georg Rose, Roland Siegfried Croner, Guoliang Zheng, Christoph Kahlert, Ulf Dietrich Kahlert

“…In this multiethnic study involving human subjects, we developed a liquid biopsy signature based on extracellular vesicle (EV)-derived microRNAs (miRNAs) linked to radiomics features extracted from patients’ tumor imaging. We integrated eight datasets containing clinical records, imaging data of benign and malignant pancreatic lesions, and small RNA sequencing data from plasma-derived EVs of PC patients. …”
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ASSESSMENT OF THE INFLUENCE OF MODERN CRUSTAL MOVEMENTS AND THE RECENTLY ACTIVATED PRECAMBRIAN STRUCTURAL PLAN ON THE RELIEF OF THE LAKE LADOGA REGION (THE SOUTHEASTERN BALTIC SHIE... by A. O. Agibalov, V. A. Zaytsev, A. A. Sentsov, A. S. Devyatkina

“…By interpreting the satellite images and the topographic maps (scale 1:20000), we reveal a number of geological structures, such as gra­nite-gneiss domes and large-size faults, which are directly reflected in the relief. …”
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