Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis by Emre Bilgin

“…For PsA, AI has also allowed for early detection among psoriasis patients using genetic markers, immune profiling, and EHR-based natural language processing systems. Overall, AI models may predict diagnosis, disease severity, treatment response, and comorbidities to improve care in patients with RA, axSpA, and PsA. …”
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Reference gene selection for qPCR is dependent on cell type rather than treatment in colonic and vaginal human epithelial cell lines. by Annette V Jacobsen, Bisrat T Yemaneab, Jana Jass, Nikolai Scherbak

“…However as a result of its sensitivity an appropriate method of normalisation should be used to account for any variation incurred in preparatory experimental procedures. These variations may result from differences in the amount of starting material, quality of extracted RNA, or in the efficiency of the reverse transcriptase or polymerase enzymes. …”
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Predicting clozapine-induced adverse drug reaction biomarkers using machine learning by John-Paul Cooper, Pierre Chue, Arno G. Siraki, Lusine Tonoyan

“…Patients who could benefit from clozapine may not be administered it due to concerns about monitoring ADRs. …”
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Artificial intelligence: protection and defence of human rights (ethical aspect) by Yu. M. Zhornokui

“…Nevertheless, it is assumed that artificial intelligence may replace humans in the future. Therefore, it is necessary that such a replacement is made fairly and compensation is provided if necessary. …”
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Specificity and Areas of Usage of Cardiovascular Prediction Models Among Athletes—State-of-the-art Review by Tomasz Chomiuk, Przemysław Kasiak, Artur Mamcarz, Daniel Śliż

“…Indirect prediction algorithms are feasible and easy-to-apply methods of individual cardiovascular disease risk estimation. …”
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Machine Learning-Based Seismic Response Prediction for Nuclear Power Plant Structures Considering Aging Deterioration by Hyunsu Kim, Soyeon Lee, Junsu Jang, Sihyeon An

“…A total of 500 artificial ground motions were created for time history analyses, and the analytical results were utilized to establish a database for training and testing ML models. Six ML algorithms, commonly employed in the structural engineering domain, were used to construct the seismic response prediction model. …”
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Exploring the role of PANoptosis related genes in the prognosis of oral squamous cell carcinoma subtypes based on multi-omics analysis by Yang Liu, Lingdu Wen, Lijuan Yan, Zifeng Cui

“…PANoptosis, involving apoptosis, pyroptosis, and necroptosis, may be linked to cancer. Identifying OSCC subtypes and creating prognostic models based on PANoptosis-related genes (PRGs) can improve diagnosis and treatment. …”
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Uncertainty Detection: A Multi-View Decision Boundary Approach Against Healthcare Unknown Intents by Yongxiang Zhang, Raymond Y. K. Lau

“…Failure to deal with unknown intents may lead to a significant risk of incorrect information acquisition. …”
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Influenza virus genotype to phenotype predictions through machine learning: a systematic review by Laura K. Borkenhagen, Martin W. Allen, Jonathan A. Runstadler

“…Conclusions: Our findings suggest that biases in model design and a dearth of wet laboratory follow-up may explain why these models often go underused. …”
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Identification of common genetic variation that modulates alternative splicing. by Jeremy Hull, Susana Campino, Kate Rowlands, Man-Suen Chan, Richard R Copley, Martin S Taylor, Kirk Rockett, Gareth Elvidge, Brendan Keating, Julian Knight, Dominic Kwiatkowski

“…Effects on splicing may represent an important mechanism by which SNPs influence gene function.…”
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Identity-Based Provable Data Possession with Designated Verifier from Lattices for Cloud Computing by Mengdi Zhao, Huiyan Chen

“…Public verification allows third parties to assess the integrity of outsourced data, offering good openness and flexibility, but it may lead to privacy leakage and security risks. …”
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USE OF HIGH-DEFINITION IMAGING FLOW CYTOMETRY AND A.I. TO ENUMERATE AND CHARACTERISE CIRCULATING TUMOUR CELLS

“…In the future the combination of imaging (e.g. ultrasound, H&E staining), clinicopathological features and use of AI algorithms, may be able to distinguish CTCs, independent of specific marker expression, and drive a better prognostic outcome by tailoring treatment strategies to individual patients, optimizing treatment efficacy and minimizing side effects. …”
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Image dataset: UAV images and ground data of one ‘Bingo’ mandarin and two ‘Valencia’ orange rootstock trials conducted in FloridaAg Data CommonsAg Data Commons by Randall P. Niedz, Kim D. Bowman

“…The data will be useful for 1) visualizing the effects of different rootstock selections and varieties on scion growth, effects that may not be fully captured with single measure metrics; and 2) development of image analysis applications and segmentation algorithms that can extract data from the images that are suitable for replacing some or all the ground measures.…”
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Integration of geospatial techniques and machine learning in land parcel prediction by Nekkanti Haripavan, Subhashish Dey, Chimakurthi Harika Mani Chandana

“…The integration of geospatial techniques and machine learning algorithms has revolutionized our ability to analyze and predict changes in land parcels. …”
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Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia by Agnieszka Potasiewicz, Zuzanna Mincikiewicz, Piotr Popik, Agnieszka Nikiforuk

“…Taken together, prenatal MAM exposure disrupts vocal communication, leading to less complex vocalizations with altered timing and structure. These deficits may serve as early markers of negative-like symptoms or cognitive dysfunctions in schizophrenia.…”
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Quaternion Method of Calculating Angles while Measuring via Goniometric Precision Instrument System by И.Ю. Черепанская, А.Ю. Сазонов, Н.И. Крушинская, В.А. Прядко, Н.В. Лукинюк

“…One of the ways of increasing accuracy and performance of angle measurements is using modern algorithmic methods and mathematic devices for processing measurement information. …”
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Epileptic Seizure Detection Using Machine Learning: A Systematic Review and Meta-Analysis by Lin Bai, Gerhard Litscher, Xiaoning Li

“…Imaging devices integrating ML may serve as effective tools for early epilepsy diagnosis. …”
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Negotiating digital traces by Helene O. I. Gundhus, Pernille Erichsen Skjevrak, Christin Thea Wathne

“…As police intelligence evolves, the interpretation and utilization of recorded data may change, especially with the use of algorithms and artificial intelligence. …”
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Neural Personalized Ranking via Poisson Factor Model for Item Recommendation by Yonghong Yu, Li Zhang, Can Wang, Rong Gao, Weibin Zhao, Jing Jiang

“…The expressiveness of linear functions may not be sufficient to capture the complex structure of users’ interactions and degrades the performance of those recommender systems. …”
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Coupled memory sampled-data control for fractional stochastic wind energy conversion models by Girija Panneerselvam, Prakash Mani

“…Furthermore, this study proposes sufficient stability conditions in the form of inequalities by utilizing the Lyapunov stability theory, which may act as a threshold property for the different sets of model parameters. …”
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