Tumor-specific PET tracer imaging and contrast-enhanced Mri based tumor volume differences inspection of glioblastoma patients by Irshad Ahmed Abbasi, Mohammed Alshehri, Yahya AlQahtani

“…Abstract Despite advancements in treatment strategies, glioblastoma, also known as GBM, remains an exceptionally aggressive primary brain tumor with a grim prognosis. …”
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A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning by Md. Hasan Imam Bijoy, Md. Jueal Mia, Md. Mahbubur Rahman, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

“…Abstract Chronic kidney disease (CKD) is characterized by persistent abnormalities in urinary biomarkers or reduced renal function, posing risks not only of progression to end-stage kidney disease but also of accelerated cardiovascular complications and mortality. …”
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Innovative framework for fault detection and system resilience in hydropower operations using digital twins and deep learning by Jun Tan, Raoof Mohammed Radhi, Kimia Shirini, Sina Samadi Gharehveran, Zamen Parisooz, Mohsen Khosravi, Hossein Azarinfar

“…We developed a hybrid approach integrating a Digital Twin model of the hydropower system with advanced Deep Learning algorithms for real-time monitoring and predictive analysis. …”
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Old Drugs, New Indications (Review) by I. I. Miroshnichenko, E. A. Valdman, I. I. Kuz'min

“…Using deep learning, DNN were found to outperform other algorithms for drug development and toxicity prediction.Conclusion. …”
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Empowering Community Health Workers With Scripted Medicine: Design Science Research Study by Dario Staehelin, Damaris Schmid, Felix Gerber, Mateusz Dolata, Gerhard Schwabe

“…We first developed the medical algorithms and ThinkLets based on insights from collaboration engineering and algorithmic management literature. …”
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A database of upper limb surface electromyogram signals from demographically diverse individuals by Harshavardhana T. Gowda, Neha Kaul, Carlos Carrasco, Marcus Battraw, Safa Amer, Saniya Kotwal, Selena Lam, Zachary McNaughton, Ferdous Rahimi, Sana Shehabi, Jonathon Schofield, Lee M. Miller

“…Participants were selected to represent a range of ages (18 to 92 years) and body mass indices (healthy, overweight, and obese). The dataset also includes measures such as skin hydration and elasticity, which may affect EMG signals. …”
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A clinical case with Anti-MOG associated demyelinating disease by D. A. Bazhenova, E. I. Zaydullina, A. A. Malkova, N. V. Komissarova

“…The relevance of the article also lies in the demonstration of diagnostic algorithms, including the use of specific markers (anti-MOG antibodies) and neuroimaging methods (MRI). …”
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TCMEval-SDT: a benchmark dataset for syndrome differentiation thought of traditional Chinese medicine by Zhe Wang, Meng Hao, Suyuan Peng, Yuyan Huang, Yiwei Lu, Keyu Yao, Xiaolin Yang, Yan Zhu

“…Each case has been annotated and curated by TCM experts and includes medical record ID, clinical data, explanatory summary, TCM syndrome, clinical information, and TCM pathogenesis, to support algorithms or models in emulating the diagnostic process of TCM clinicians. …”
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X-ray modalities in the era of artificial intelligence: overview of self-supervised learning approach by Ivan Martinović, Shitong Mao, Mehdy Dousty, Wuqi Li, Milena Đukanović, Errol Colak, Ervin Sejdić

“…Self-supervised learning enables the creation of algorithms that outperform supervised pre-training methods in numerous computer vision tasks. …”
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Geometrical Similarities Between Metallic Real and Computationally Simulated Grain Structures (Equiaxed Polygonal Grains) by Adán Ramírez-López, Juan Alberto Alcántara-Cárdenas, Ángel de Jesús Morales-Ramírez, Juliana Guadalupe Rosado-Carrasco

“…Then, computational algorithms and standardized procedures were used for characterization. …”
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Multilabel Classification Using Low-Rank Decomposition by Bo Yang, Kunkun Tong, Xueqing Zhao, Shanmin Pang, Jinguang Chen

“…Extensive experiments validate that the proposed method can achieve comparable to or even better results than other state-of-the-art algorithms.…”
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Exploring the comprehensive integration of artificial intelligence in optimizing HVAC system operations: A review and future outlook by Shengze Lu, Shiyu Zhou, Yan Ding, Moon Keun Kim, Bin Yang, Zhe Tian, Jiying Liu

“…The combination of the AI and digital twin technologies is also explored. This review study focuses on the intelligent control technology, multi-objective optimization of system operation, system optimization based on occupant behavior and thermal comfort, and system fault detection and diagnosis. …”
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Systemic Mastocytosis: A Rare Case of Increased Liver Stiffness by Stefanie Adolf, Gunda Millonig, Helmut Karl Seitz, Andreas Reiter, Peter Schirmacher, Thomas Longerich, Sebastian Mueller

“…In conclusion, refined clinical algorithms for increased LS should also include mastocytosis in addition to inflammation, congestion, and biliary obstruction.…”
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Desktop Software for Patch-Clamp Raw Binary Data Conversion and Preprocessing by Ning Zhang, Yutao Tian, Lei Zhang, Zhuo Yang, Tao Zhang, Jishou Ruan

“…And the parameters can also be viewed, modified and exported into ASCII files by a user-friendly Explorer style window. …”
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A Review on the Security of IoT Networks: From Network Layer’s Perspective by Asma Jahangeer, Sibghat Ullah Bazai, Saad Aslam, Shah Marjan, Muhammad Anas, Sayed Habibullah Hashemi

“…We reviewed the state-of-the-art works and different performance parameters like energy consumption, scalability, threshold value, packet delivery ratio, and throughput. Moreover, we also present a detailed analysis of machine learning-based algorithms and techniques proposed for the security of RPL protocol against internal attacks.…”
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A proficient approach for the classification of Alzheimer’s disease using a hybridization of machine learning and deep learning by Hafiz Ahmed Raza, Shahab U. Ansari, Kamran Javed, Muhammad Hanif, Saeed Mian Qaisar, Usman Haider, Paweł Pławiak, Iffat Maab

“…Deep learning models have also been increasingly utilized with varying degrees of success. …”
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Quantum AI: A Cognitive Machine Learning Technique based on Nurturing Food Security Sustainability Predictive Analysis for Life Science - Bioengineering in Healthcare by Senthil G.A., Monica K.M., Prabha R., Prinslin L., Elavarasi R.

“…User-specific information such as age, weight, height, and BMI are also used to calculate individual nutritional needs. …”
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Impact of Artificial Intelligence and Virtual Reality on Educational Inclusion: A Systematic Review of Technologies Supporting Students with Disabilities by Angelos Chalkiadakis, Antonia Seremetaki, Athanasia Kanellou, Maria Kallishi, Anastasia Morfopoulou, Marina Moraitaki, Sofia Mastrokoukou

“…Ethical concerns such as privacy and algorithmic bias are cited as key areas that need careful consideration. …”
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Pulmonary Embolism Treatment: Current Developments and Approaches by Evren Dal, Suna Eraybar, Mehtap Bulut, Akkan Avcı

“…The broad spectrum and severity of PE require individualization and optimization of treatment approaches. In addition to algorithms guiding the diagnostic process of patients, the use of risk classifications guiding the recognition of critically ill patients and the decision of treatment modalities has an important place in emergency department practice. …”
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TraitBertGCN: Personality Trait Prediction Using BertGCN with Data Fusion Technique by Muhammad Waqas, Fengli Zhang, Asif Ali Laghari, Ahmad Almadhor, Filip Petrinec, Asif Iqbal, Mian Muhammad Yasir Khalil

“…The advancement of machine learning algorithms in multiple fields also attracted the attention of Automatic Personality Prediction (APP). …”
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