New insights into biomarkers and risk stratification to predict hepatocellular cancer by Katrina Li, Brandon Mathew, Ethan Saldanha, Puja Ghosh, Adrian R. Krainer, Srinivasan Dasarathy, Hai Huang, Xiyan Xiang, Lopa Mishra

“…This review highlights the performance of these novel biomarkers and algorithms from a mechanistic perspective and provides new insight into how pathological processes can be detected through blood-based biomarkers. …”
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Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of focus limits by Andrey Romanov, Min Gee Cho, Mary Cooper Scott, Philipp Pelz

“…We discuss further experimental and algorithmic improvements necessary to also resolve single weakly scattering atoms in 3D.…”
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Advances in Deep Learning Applications for Plant Disease and Pest Detection: A Review by Shaohua Wang, Dachuan Xu, Haojian Liang, Yongqing Bai, Xiao Li, Junyuan Zhou, Cheng Su, Wenyu Wei

“…Emerging opportunities for optimizing pest and disease monitoring through advanced algorithms are also emphasized. Deep learning technology, with its powerful capabilities in data processing and pattern recognition, has become a pivotal tool for promoting sustainable agricultural practices, enhancing productivity, and advancing precision agriculture.…”
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Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2... by Monoronjon Dutta, Md Rashedul Islam Sujan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

“…In this work, deep learning algorithms were, therefore, employed for the identification and classification of rice leaf diseases from images of crops in the field. …”
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Swincloud: a hybrid network for cloud detection in thermal infrared remote sensing images by Long Gao, Liyuan Li, Jianing Yu, Xiaoxuan Zhou, Lu Zou, Nan Fang, Xiaofeng Su, Fansheng Chen

“…Existing cloud detection algorithms primarily rely on imaging data from satellite sensors in the visible to near-infrared spectral range, making it challenging to achieve day-and-night cloud monitoring. …”
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Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer by Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

“…Abstract Radiotherapy is the main treatment modality of oropharyngeal cancer (OPC), in which an accurate segmentation of primary gross tumor volume (GTVt) is essential but also challenging due to significant interobserver variability and the time consumed in manual tumor delineation. …”
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The Key Role of 3D TEE in Assessing the Morphology of Degenerative Mitral Valve Regurgitation by Francesco Fulvio Faletra, Eluisa La Franca, Laura Anna Leo, Leyla Elif Sade, William Katz, Francesco Musumeci, Caterina Gandolfo, Michele Pilato, Manlio Cipriani

“…In this review, we describe the key role of 3D TEE in various morphological scenarios that reflect everyday experiences in an echocardiographic laboratory. We also discuss the growing role of 3D TEE in mitral valve (MV) transcatheter edge-to-edge repair (TEER) and new modalities such as photorealistic and transparent displays, surface rendering parametric color maps, new algorithms for MVR quantification, and the potential role of new mini-TEE probes in adult patients with DMVR.…”
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Modular scaffolds with intelligent visual guidance system for in situ bone tissue repair by Huifeng Shao, Pengcheng Xia, Tao Zhang, Jinyuan Shi, Zhiqiang Huang, Xianqi Yuan, Zhiheng Nian, Xiao Zhao, Rougang Zhou, Youping Gong, Yong He

“…In summary, the adoption of modular scaffolds not only integrates personalization and standardization but also satisfies the optimal treatment window.…”
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Early rehabilitation of cancer patients after endoprosthetic reconstruction following resection of the lower extremity long bones by A. V. Bukharov, E. V. Filonenko, D. A. Erin, V. A. Derzhavin, A. V. Yadrina, A. M. Shatalov, D. O. Elkhov, M. D. Aliev

“…Further studies are needed to optimize rehabilitation techniques and develop new algorithms for the treatment of cancer patients who underwent endoprosthetic reconstruction following resection of the lower extremity long bones.…”
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The First Cadenza Challenges: Using Machine Learning Competitions to Improve Music for Listeners With a Hearing Loss by Gerardo Roa-Dabike, Michael A. Akeroyd, Scott Bannister, Jon P. Barker, Trevor J. Cox, Bruno Fazenda, Jennifer Firth, Simone Graetzer, Alinka Greasley, Rebecca R. Vos, William M. Whitmer

“…The software baselines provided for entrants to build upon used two state-of-the-art demix algorithms: Hybrid Demucs and Open-Unmix. Objective evaluation used HAAQI, the Hearing-Aid Audio Quality Index. …”
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MEA‐seqX: High‐Resolution Profiling of Large‐Scale Electrophysiological and Transcriptional Network Dynamics by Brett Addison Emery, Xin Hu, Diana Klütsch, Shahrukh Khanzada, Ludvig Larsson, Ionut Dumitru, Jonas Frisén, Joakim Lundeberg, Gerd Kempermann, Hayder Amin

“…Machine‐learning algorithms accurately predict network‐wide electrophysiological activity features from spatial gene expression, demonstrating a previously inaccessible convergence across modalities, time, and scales.…”
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Modeling and validation of wearable sensor-based gait parameters in Parkinson’s disease patients with cognitive impairment by Guo Hong, Guo Hong, Fengju Mao, Fengju Mao, Mingming Zhang, Fei Zhang, Fei Zhang, Xiangcheng Wang, Kang Ren, Kang Ren, Zhonglue Chen, Zhonglue Chen, Xiaoguang Luo, Xiaoguang Luo

“…Shapley Additive Explanations (SHAP) analysis was also employed to enable personalized risk assessment. …”
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Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis by Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira

“…The results reveal a trade-off between the imperceptibility and effectiveness of these attacks. The study also identifies limitations in current attack algorithms, offering insights that can guide future research in the area. …”
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Predicting Hospitalization Length in Geriatric Patients Using Artificial Intelligence and Radiomics by Lorenzo Fantechi, Federico Barbarossa, Sara Cecchini, Lorenzo Zoppi, Giulio Amabili, Mirko Di Rosa, Enrico Paci, Daniela Fornarelli, Anna Rita Bonfigli, Fabrizia Lattanzio, Elvira Maranesi, Roberta Bevilacqua

“…Three ML classification algorithms, linear support vector machine (LSVM), medium neural network (MNN), and ensemble subspace discriminant (ESD), were trained and validated through a 5-fold cross-validation technique. …”
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Target repositioning using multi-layer networks and machine learning: The case of prostate cancer by Milan Picard, Marie-Pier Scott-Boyer, Antoine Bodein, Mickaël Leclercq, Julien Prunier, Olivier Périn, Arnaud Droit

“…Second, by extracting relevant features from the network using several approaches including proximity to disease-associated genes, but also unbiased approaches such as propagation-based methods, topological metrics, and module detection algorithms. …”
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Quantifying the Unknowns of Plaque Morphology: The Role of Topological Uncertainty in Coronary Artery Disease by Yashbir Singh, ME, PhD, Quincy A. Hathaway, MD, PhD, Karthik Dinakar, PhD, Leslee J. Shaw, PhD, Bradley Erickson, MD, PhD, Francisco Lopez-Jimenez, MD, MBA, MSc, Deepak L. Bhatt, MD, MPH, MBA

“…The importance of standardization in methodologies and ethical considerations in AI deployment are emphasized. It also outlines various types of uncertainty in topological frameworks for coronary plaques, categorizing them as quantifiable and controllable or quantifiable and not controllable. …”
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Some Investigations and Application of Acoustics in Geophysics by FA Lin, YANG Huiting, MENG Shuangshuang, FANG Xiangrong, FAN Jin, ZHANG Kaiqiang, XU Yulin, ZOU Xiao, CUI Xinhao, SHI Guiquan, ZHAO Meishan

“…We also discuss a method of formation reflection coefficient inversion using logging and seismic data, taking into account rock anisotropy and dip angle. …”
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All-Dielectric Metasurfaces Color Filter Arrays Designed by Evolutionary Search by Xiang Huang, Jie Huang, Lina Yang, Zhenfu Zhang, Hansi Ma, Yang Qian, Chengxi Li, Z Zhang, Junbo Yang

“…In this article, we proposed a combination of intelligent algorithms and finite domain time domain solution, and designed matesurface structural color successfully that can reflect high-quality colors. …”
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SLAM Performance Evaluation on Uneven Terrain Under Varying Illuminance Conditions and Trajectory Lengths by Amirul Jamaludin, Syaimaa' Solehah Mohd Radzi, Norhidayah Mohamad Yatim, Nazlee Azmeer Masuan, Norsharimie Mat Adam, Nur Aisyah Syafinaz Suarin, Pazli Mohd Sulong, Siti Sofiah Mohd Radzi

“…To address this challenge, the feasibility of two visual-based SLAM algorithms (i.e. real-time appearance-based mapping (RTAB-Map) and neuro-inspired 4DoF (degree of freedom) SLAM (NeuroSLAM)), and two LiDAR-based SLAM algorithms (i.e. …”
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Global surface eddy mixing ellipses: spatio-temporal variability and machine learning prediction by Tian Jing, Ru Chen, Chuanyu Liu, Chunhua Qiu, Chunhua Qiu, Cuicui Zhang, Mei Hong

“…Notably, large mixing ellipses predominantly occur in eddy-rich and energetic ocean regions. We also assessed the predictability of global mixing ellipses using machine learning algorithms, including Spatial Transformer Networks (STN), Convolutional Neural Network (CNN) and Random Forest (RF), with mean-flow and eddy- properties as features. …”
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