Honey as a Natural Antimicrobial by Matthew Chidozie Ogwu, Sylvester Chibueze Izah

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Bone Lengthening Radius using Limb Reconstruction System - A Successful Treatment for Radius Shortening: A Case Report by Muhammad-Zaidulkhair MR, Tan RS, Kamarul IK

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Plant and marine-derived natural products: sustainable pathways for future drug discovery and therapeutic development by Muhammad Ahmad, Muhammad Ahmad, Maleha Tahir, Zibin Hong, Muhammad Anjum Zia, Hamza Rafeeq, Muhammad Shaheez Ahmad, Saif ur Rehman, Junming Sun

“…Future perspectives will highlight the role of responsible innovation, artificial intelligence, and machine learning in advancing drug discovery, underscoring the importance of continued research to meet global health needs.…”
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A versatile CRISPR/Cas9 system off-target prediction tool using language model by Weian Du, Liang Zhao, Kaichuan Diao, Yangyang Zheng, Qianyong Yang, Zhenzhen Zhu, Xiangxing Zhu, Dongsheng Tang

“…Abstract Genome editing with the CRISPR/Cas9 system has revolutionized life and medical sciences, particularly in treating monogenic genetic diseases by enabling long-term therapeutic effects from a single intervention. …”
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Innovative applications of biochar in nuclear remediation and catalysis by Mojtaba Kordrostami, Ali Akbar Ghasemi-Soloklui

“…The paper discusses safety and regulatory issues, how artificial intelligence and machine learning might be used for material optimization, and the limits and difficulties in using biochar. …”
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Emotion and sentiment enriched decision transformer for personalized recommendations by Sana Abakarim, Sara Qassimi, Said Rakrak

“…By treating user interactions as sequences of states, actions, and rewards, DT allows ESE-DT to learn temporal dynamics, enabling alignment between recommendations and long-term user engagement goals. …”
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Prediction of traditional Chinese medicine for diabetes based on the multi-source ensemble method by Bin Yang, Qingyun Chi, Xiang Li, Jinglong Wang

“…IntroductionTraditional Chinese medicine (TCM) prescriptions are generally formulated by experienced TCM researchers based on their expertise and data statistical methods.MethodsIn order to predict TCM formulas for diabetes more accurately, this paper proposes a novel multi-source ensemble prediction method that combines machine learning ensemble techniques and multi-source data. …”
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Non-Invasive Localization of Epileptogenic Zone in Drug-Resistant Epilepsy Based on Time–Frequency Analysis and VGG Convolutional Neural Network by Yaqing Liu, Yalin Wang, Tiancheng Wang

“…The mainstream method for treating drug-resistant epilepsy (DRE) is surgical resection of the epileptogenic zone. …”
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Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer by WEI Pengyu, GAO Jiale, JI Maotong, TAN Yuanyuan, YAO Hongwei

“…Laparoscopic right hemicolectomy is the standard surgical procedure for treating right-sided colon cancer, yet its complex anatomical layers and technically demanding operations pose significant challenges to surgeons’ expertise. …”
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Novelty triggers time-dependent theta oscillatory dynamics in cortical-hippocampal-midbrain circuitry by Alan Jung Park

“…The observed time-dependent circuit dynamics in the key learning and memory circuit would provide new insights for treating neuropsychiatric disorders that often show impaired novelty processing.…”
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First Fifty Cases with En-Bloc Holmium Laser Enucleation of the Prostate by Georgi Georgiev, Nikolay Kolev, Vladislav Dunev, Boyan Atanasov

“…We applied an effective method for treating benign prostatic hyperplasia with maximum safety, minimal hospital stays, short operative time, and minimal complications. …”
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Distinct role of claustrum and anterior cingulate cortex bidirectional circuits in methamphetamine taking and seeking by Manqing Wu, Miaojun Lai, Yiyin Zhou, Yingjie Cheng, Sai Shi, Fangmin Wang, Huizhen Liu, Min Zhao, Wenhua Zhou

“…Targeting this bidirectional CLA-ACC circuit may provide novel therapeutic strategies for treating METH addiction.…”
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Laurel–Yanny percept affects the speech-to-song illusion, but musical anhedonia does not by Nicholas Kathios, Benjamin M. Kubit, Nicole Grout, Jake Everard, Emma Zachary, Arushi Sankhe, Adam Tierney, Aniruddh D. Patel, Psyche Loui

“…Repeated listening to musical phrases can also lead to changes in liking, attributed to learning-related reduction of prediction errors generated by the dopaminergic reward system. …”
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On the cutting edge: anterior transpetrosal approach – the middle fossa approach. Clinical application, surgical anatomy, and results by L. Mastronardi, L. De Waele, T. Fukushima

“…The cadaver-lab dissections simplify the learning of anatomical structures, and prepare the surgeon properly for this technically challenging approach.…”
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Neuropharmacological effects of Gastrodia elata Blume and its active ingredients by Dong Wang, Dong Wang, Wei Liu, MeiJuan Lu, Qiang Xu

“…Current studies primarily focus on GE and its active ingredients for the treatment of neurological diseases such as Parkinson’s disease, Alzheimer’s disease, epilepsy, convulsions, depression, schizophrenia, as well as enhancing learning and memory, and preventing or treating cerebral ischemic injury. …”
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Clinical services for adults with an intellectual disability and epilepsy: A comparison of management alternatives. by Adam P Wagner, Tim J Croudace, Naomi Bateman, Mark W Pennington, Elizabeth Prince, Marcus Redley, Simon R White, Howard Ring

“…Surprisingly, given this relatively high frequency, along with higher rates of refractory epilepsy than in those without ID, little is known about outcomes of different management approaches/clinical services treating epilepsy in adults with ID-we investigate this area.…”
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Clinical Holistic Medicine (Mindful Short-Term Psychodynamic Psychotherapy Complimented with Bodywork) in the Treatment of Schizophrenia (ICD10-F20/DSM-IV Code 295) and Other Psych... by Søren Ventegodt, Isack Kandel, Joav Merrick

“…There is a long, well-established tradition for treating schizophrenia with psychodynamic therapy, and we have found that the combination of bodywork and psychotherapy can enhance and accelerate the therapy and might improve the treatment rate further.…”
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Integrated bioinformatics and network pharmacology to identify and validate macrophage polarization related hub genes in the treatment of osteoarthritis with Astragalus membranaceu... by Hui Zang, Liuyan Wang, Yang Wu, Junfei Chang, Wanjun Liu

“…Subsequently, the candidate genes were further screened for hub genes by machine learning, receiver operating characteristic (ROC) curve analysis, and expression validation. …”
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Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy by Moustaq Karim Khan Rony, Dipak Chandra Das, Most. Tahmina Khatun, Silvia Ferdousi, Mosammat Ruma Akter, Mst. Amena Khatun, Most. Hasina Begum, Md Ibrahim Khalil, Mst. Rina Parvin, Daifallah M Alrazeeni, Fazila Akter

“…Empirical studies investigating AI applications in psychiatry, such as machine learning (ML), deep learning (DL), and hybrid models, were selected based on predefined inclusion criteria. …”
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Disentangled similarity graph attention heterogeneous biological memory network for predicting disease-associated miRNAs by Yinbo Liu, Qi Wu, Le Zhou, Yuchen Liu, Chao Li, Zhuoyu Wei, Wei Peng, Yi Yue, Xiaolei Zhu

“…However, these methods still face limitations, such as not considering nodes’ deep-level similarity associations and hierarchical learning patterns. Additionally, current models do not retain the memory of previously learned heterogeneous historical information about miRNAs or diseases, only focusing on parameter learning without the capability to remember heterogeneous associations. …”
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