A Survey on Computational Methods in Drug Discovery for Neurodegenerative Diseases by Caterina Vicidomini, Francesco Fontanella, Tiziana D’Alessandro, Giovanni N. Roviello

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Role of artificial intelligence in earlier diagnosis of bronchopulmonary dysplasia by Lam Q. Bui, Sandhya J. Kadam

“…AI technologies can be used to study chest X-ray images to improve the diagnostic accuracy of BPD in preterm infants. A deep learning component can be used for lung segmentation of preterm chest radiographs to build a BPD prediction model by focusing on lung anatomy. …”
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RRDGNN: Relational reflective disentangled graph neural network for entity alignment by Xinchen Shi, Bin Li, Ling Chen, Xiaowei Zhang

“…Most of these methods treat the neighborhood of an entity as a whole, aggregating all its neighbors into a single, static representation. …”
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Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task by Kononov, Roman Andreevich, Maslennikov, O.  V., Nekorkin, Vladimir Isaakovich

“…The trial structure, featuring constant stimuli over extended periods, allowed us to treat inputs as system parameters and consider the system as autonomous during finite time intervals. …”
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Grounding mathematics in an integrated conceptual structure, part I: experimental evidence that grounded rules support transfer that formal rules do not by Kevin W. Mickey, James L. McClelland

“…Mathematics relies on formal systems of rules that can be treated in isolation or grounded in a conceptual system that provides meaning for the relationships the rules express. …”
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D-Fi: Domain adversarial neural network based CSI fingerprint indoor localization by Wei Liu, Zhiqiang Dun

“…Deep learning based channel state information (CSI) fingerprint indoor localization schemes need to collect massive labeled data samples for training, and the parameters of the deep neural network are used as the fingerprints. …”
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Basic psychological needs satisfaction as a mediator of the effects of a formative assessment practice on behavioral engagement and autonomous motivation by Catarina Andersson, Catarina Andersson, Carina Granberg, Carina Granberg, Björn Palmberg, Björn Palmberg, Torulf Palm, Torulf Palm

“…Since the intraclass correlation values ICC(1) and ICC(2) were low, we treated the comparison classes as one group and t-tests were used in the significance testing of the differences in changes in psychological needs satisfaction and motivation between the intervention class and the comparison classes. …”
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Prediction of Fractal Dimension in Shale CT and its Robustness to Interference Based on Convolutional Neural Networks by SUN Dingwei, WANG Lei, YANG Dong, HUANG Xudong, JIA Yichao

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Efficacy of Naringenin against aging and degeneration of nucleus pulposus cells through IGFBP3 inhibition by Xiaokai Tang, Junlong Zhong, Hao Luo, Faxin Zhou, Lixia Wang, Sijian Lin, Jiachao Xiong, Hao Lv, Zhenhai Zhou, Honggui Yu, Kai Cao

“…However, the pharmacological mechanisms through which NAR prevents and treats intervertebral disc degeneration (IDD) remain unclear. …”
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Advanced Artificial Intelligence Technologies Transforming Contemporary Pharmaceutical Research by Parveen Kumar, Benu Chaudhary, Preeti Arya, Rupali Chauhan, Sushma Devi, Punit B. Parejiya, Madan Mohan Gupta

“…One area of study within machine learning and artificial intelligence (AI) seeks to create computer programs with intelligence that can mimic human focal processes in order to produce results. …”
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Unveiling the effects of electric field treatments on crop cultivation: a game-changing sustainable energy strategy for plant pathogen eradication and boosting yield growth in agri... by S.S. Jayakrishna, S. Sankar Ganesh

“…The results are validated through a computer vision-based model that improved YOLO-v8 by redesigning the c2f function and employing deep learning techniques with a self-developed Banana Pathogenic Nematode (BPN) dataset. …”
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PMSFF: Improved Protein Binding Residues Prediction through Multi-Scale Sequence-Based Feature Fusion Strategy by Yuguang Li, Xiaofei Nan, Shoutao Zhang, Qinglei Zhou, Shuai Lu, Zhen Tian

“…Then, it generates multi-scale residue embeddings by applying multi-size windows to capture effective neighboring residues and multi-size kernels to learn information across different scales. Additionally, the proposed model treats protein sequences as sentences, employing a bidirectional GRU to learn global context. …”
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Automatic Feature Selection for Imbalanced Echocardiogram Data Using Event-Based Self-Similarity by Huang-Nan Huang, Hong-Min Chen, Wei-Wen Lin, Rita Wiryasaputra, Yung-Cheng Chen, Yu-Huei Wang, Chao-Tung Yang

“…<b>Conclusions:</b> Our findings highlight the potential of machine learning-driven echocardiogram analysis to enhance patient care by providing accurate, data-driven assessments.…”
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Programmed cell death signatures-driven microglial transformation in Alzheimer’s disease: single-cell transcriptomics and functional validation by Mi-Mi Li, Ying-Xia Yang, Ya-Li Huang, Shu-Juan Wu, Wan-Li Huang, Li-Chao Ye, Ying-Ying Xu

“…An integrated machine learning framework, combining 12 algorithms was used to construct a PCDS model. …”
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Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways by Kittisak Taoma, Marasri Ruengjitchatchawalya, Kanthida Kusonmano, Teerasit Termsaithong, Thana Sutthibutpong, Monrudee Liangruksa, Teeraphan Laomettachit

“…Abstract Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, drug resistance remains a significant hindrance. …”
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Enhancing Podocyte Degenerative Changes Identification With Pathologist Collaboration: Implications for Improved Diagnosis in Kidney Diseases by George Oliveira Barros, Jose Nathan Andrade Muller da Silva, Henrique Machado de Sousa Proenca, Stanley Almeida Araujo, David Campos Wanderley, Luciano Reboucas de Oliveira, Washington Luis Conrado Dos-Santos, Angelo Amancio Duarte, Flavio de Barros Vidal

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Data‐driven discovery of associations between prescribed drugs and dementia risk: A systematic review by Benjamin R. Underwood, Ilianna Lourida, Jessica Gong, Stefano Tamburin, Eugene Yee Hing Tang, Emad Sidhom, Xin You Tai, Matthew J. Betts, Janice M. Ranson, Margarita Zachariou, Olajide E. Olaleye, Saswati Das, Neil P. Oxtoby, Shanquan Chen, David J. Llewellyn, for the Deep Dementia Phenotyping (DEMON) Network

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Association of mortality and physician experience in prehospital anaesthesia: a registry study on new physicians in Finnish helicopter emergency medical services by Anssi Saviluoto, Piritta Setälä, Miretta Tommila, Jussi Pirneskoski, Lasse Raatiniemi, Jouni Nurmi

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Association of [¹⁸F]-FDG PET/CT-Derived Radiomic Features with Clinical Outcomes and Genomic Profiles in Patients with Chronic Lymphocytic Leukemia by Fabiana Esposito, Luigi Manco, Guglielmo Manenti, Livio Pupo, Andrea Nunzi, Roberta Laureana, Luca Guarnera, Massimiliano Marinoni, Elisa Buzzatti, Paola Elda Gigliotti, Andrea Micillo, Giovanni Scribano, Adriano Venditti, Massimiliano Postorino, Maria Ilaria Del Principe

“…<b>Methods:</b> A retrospective analysis was conducted on 50 CLL patients treated at Policlinico Tor Vergata, Rome, and screened, at diagnosis, with [¹⁸F]-FDG PET/CT. …”
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Driving Abilities and Wearing-Off in Parkinson’s Disease: A Driving Simulation Study by Massimo Marano, Matteo Esposito, Gabriele Sergi, Francesca Proietti, Adriano Bonura, Stefano Toro, Alessandro Magliozzi, Gaia Anzini, Vincenzo Di Lazzaro

“…A Virtual Driving Rating Scale (VDRS) was calculated, as well as learning curves (LCs) for driving items calculated in minutes. …”
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