Critical review of patient outcome study in head and neck cancer radiotherapy by Jingyuan Chen, Yunze Yang, Chenbin Liu, Hongying Feng, Jason M. Holmes, Lian Zhang, Steven J. Frank, Charles B. Simone, II, Daniel J. Ma, Samir H. Patel, Wei Liu

“…This review critically evaluates the evolution of data-driven approaches in predicting patient outcomes in head and neck cancer patients treated with radiation therapy. Three transformative methodological advances are reviewed: radiomics, AI-based algorithms, and causal inference frameworks. …”
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Lipid vesicle shape analysis from populations using light video microscopy and computer vision. by Jernej Zupanc, Barbara Drašler, Sabina Boljte, Veronika Kralj-Iglič, Aleš Iglič, Deniz Erdogmus, Damjana Drobne

“…We present a method for giant lipid vesicle shape analysis that combines manually guided large-scale video microscopy and computer vision algorithms to enable analyzing vesicle populations. …”
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University proceedings. Volga region. Technical sciences by P.V. Malinin, P.Yu. Bochkarev, I.I. Artemov

“…The obtained results of theoretical research, the developed algorithms and software develop the scientific and methodological basis for creating a computer-aided design system for operations performed on centerless grinding machines.…”

OmniSegger: A time-lapse image analysis pipeline for bacterial cells. by Teresa W Lo, Kevin J Cutler, H James Choi, Paul A Wiggins

“…In this paper, we describe the OmniSegger pipeline developed as an open-source, modular, and holistic suite of algorithms whose input is raw microscopy images and whose output is a wide range of quantitative cellular analyses, including dynamical cell cytometry data and cellular visualizations. …”
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Two ways to one goal: new strategy of antiviral therapy for chronic hepatitis C by S. N. Batskikh

“…To analyze data of the clinical studies on chronic hepatitis C (CHC) treatment with application of new modes of combined therapy, including selective inhibitor of viral protease.Key points. New algorithms of antiviral therapy for patients infected by the 1-st virus genotype not treated earlier, and after treatment failure, implicate presence or absence of so-called «induction phase», the kernel of which is application of pegilated interferon-α and ribavirin combination at the beginning of treatment with subsequent addition of the third agent (the direct action antiviral agent). …”
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How to Ask the ‘Right’ Questions about Artificial Intelligence in Social Sciences? Human-Centered AI as a Problem and as a Solution by Andrey Rezaev

“…Part of the answer: Woolgar’s question – are artificially intelligent machines sufficiently like humans to be treated as the subject of sociological inquiry? – directed scholars in the wrong way. …”
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Scheduling framework based on reinforcement learning in online-offline colocated cloud environment by Ling MA, Qiliang FAN, Ting XU, Guanchen GUO, Shenglin ZHANG, Yongqian SUN, Yuzhi ZHANG

“…Some reinforcement learning-based scheduling algorithms for cloud computing platforms barely considered one scenario or ignored the resource constraints of jobs and treated all machines as the same type, which caused low resource utilization or insufficient scheduling efficiency.To address the scheduling problems in online-offline colocated cloud environment, a framework named JobFusion was proposed.Firstly, an efficient resource partitioning scheme was built in the cloud computing platform supporting virtualization technology by integrating the hierarchical clustering method with connectivity constraints.Secondly, a graph convolutional neural network was utilized to embed the attributes of elastic dimension with various constraints and the jobs with various numbers, to capture the critical path information of workflow.Finally, existing high-performance reinforcement learning methods were integrated for scheduling jobs.According to the results of evaluation experiments, JobFusion improves the resource utilization by 39.86% and reduces the average job completion time by up to 64.36% compared with baselines.…”
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Interpretable web-based machine learning model for predicting intravenous immunoglobulin resistance in Kawasaki disease by Ying He, Fan Lin, Xin Zheng, Qiaobin Chen, Meng Xiao, Xiaoting Lin, Hongbiao Huang

“…Existing predictive models do not integrate multiple machine learning (ML) algorithms or facilitate real-time clinical use. This study presents a region-specific, interpretable ML model for early IVIG resistance prediction in KD. …”
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TEMPTED: time-informed dimensionality reduction for longitudinal microbiome studies by Pixu Shi, Cameron Martino, Rungang Han, Stefan Janssen, Gregory Buck, Myrna Serrano, Kouros Owzar, Rob Knight, Liat Shenhav, Anru R. Zhang

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Revolutions at the frontline of multiple myeloma treatment: lessons and challenges to finding a cure by Jeries Kort, Jeries Kort, Andrea Rivera, Andrea Rivera, Sindhuja Senigarapu, James J. Driscoll, James J. Driscoll, James J. Driscoll

“…BsAbs and CAR T-cells are major histocompatibility complex (MHC)-independent approaches to treat MM and do not require T-cell receptor (TCR) specificity. …”
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Thrombocytopenia in patients with melanoma receiving immune checkpoint inhibitor therapy by Michael Postow, Igor Puzanov, Suthee Rapisuwon, Michael A. Davies, Zeynep Eroglu, Eileen Shiuan, Kathryn E. Beckermann, Alpaslan Ozgun, Ciara Kelly, Meredith McKean, Jennifer McQuade, Mary Ann Thompson, John P. Greer, Douglas Johnson

“…In a retrospective chart review of 2360 patients with melanoma treated with checkpoint inhibitor therapy, <1% experienced thrombocytopenia following immune checkpoint inhibition, and of these, most had spontaneous resolution and did not require treatment.Conclusions Thrombocytopenia, especially ITP, induced by immune checkpoint inhibitors appears to be an uncommon irAE that is manageable with observation in mild cases and/or standard ITP treatment algorithms. …”
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Prepare Linear Distributions with Quantum Arithmetic Units by Junxu Li

“…Quantum arithmetic logic units (QALUs) perform essential arithmetic operations within a quantum framework, serving as the building blocks for more complex computations and algorithms in quantum computing. In this paper, we present an approach to prepare linear probability distributions with quantum full adders. …”
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Quantifying Topographic Ruggedness Using Principal Component Analysis by Maan Habib

“…Besides, quantitative and qualitative method is espoused to validate the algorithms and compare their capabilities to the previously introduced models in the literature. …”
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Resilience and Economic Intelligence through Digitalization and Big Data Analytics by Alina Mihaela Dima

“…The onlife digitalization is the new phase of society digitalization where big data and smart algorithms based on artificial intelligence changed the decision process mechanism in the public and private sectors. …”
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A systematic review and meta-analysis of utility-based quality of life in chronic kidney disease treatments. by Melanie Wyld, Rachael Lisa Morton, Andrew Hayen, Kirsten Howard, Angela Claire Webster

“…<h4>Background</h4>Chronic kidney disease (CKD) is a common and costly condition to treat. Economic evaluations of health care often incorporate patient preferences for health outcomes using utilities. …”
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Novel CYCLIN‐O pathogenic variants in a patient presenting with bronchiectasis secondary to reduced generation of multiple motile cilia by Kim Hoong Yap, Albert Yick Hou Lim, Biju Thomas, Carine Bonnard, Emmanuelle Szenker‐Ravi, Yan Ling Chong, Sudipto Roy, Bruno Reversade

“…Heightened clinical suspicion and adherence to established diagnostic algorithms are essential for timely recognition of this entity.…”
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Numerical Solutions for Nonlinear Ordinary and Fractional Duffing Equations Using Combined Fibonacci–Lucas Polynomials by Waleed Mohamed Abd-Elhameed, Omar Mazen Alqubori, Amr Kamel Amin, Ahmed Gamal Atta

“…Two nonlinear Duffing equations are numerically treated in this article. The nonlinear fractional-order Duffing equations and the second-order nonlinear Duffing equations are handled. …”
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Long-term prognosis of 47 pediatric patients with Blau syndrome in China by Xinwei Shi, Jianghong Deng, Junmei Zhang, Xiaozhen Zhao, Yinan Zhao, Li Li, Fengqiao Gao, Weiying Kuang, Jiang Wang, Xiaohua Tan, Chao Li, Shipeng Li, Caifeng Li

“…Approximately 95.7% patients (45 patients) were treated with combination of prednisolone and methotrexate and 42.6% patients (20 patients) were treated with tumor necrosis factor inhibitors. …”
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Unravelling NK cell subset dynamics and specific gene signatures post-ibrutinib therapy in chronic lymphocytic leukaemia via single-cell transcriptomics by Chunlan Liu, Tianjian Ding, Rong Zou, Aili Zhang, Zhengzhuo Zhi, Sili Wang

“…Mendelian randomization analysis and colocalization analysis were employed to identify key genes. Multiple algorithms were used for immune infiltration analysis, and drug sensitivity analysis was conducted to pinpoint potential therapeutic agents. …”
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Improving the Solving of Optimization Problems: A Comprehensive Review of Quantum Approaches by Deborah Volpe, Giacomo Orlandi, Giovanna Turvani

“…The Ising and Quadratic Unconstrained Binary Optimization (QUBO) models are the most suitable formulations for these solvers, involving binary variables and constraints treated as penalties within the overall objective function. …”
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