Machine Learning and Experimental Validation Reveal MYH11 as a Novel Prognostic Biomarker and Therapeutic Target in Bladder Cancer by Tan Z, Chen X, Fu S, Huang Y, Li H, Gong C, Lv D, Yang C, Wang J, Ding M, Wang H

“…Specifically, FLNC and MYH11 may influence BCa progression through phosphorylation and succinylation. …”
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Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics by Gayatri Gogoi, Gayatri Gogoi, Sarangthem Dinamani Singh, Sarangthem Dinamani Singh, Devpratim Koch, Devpratim Koch, Emon Kalyan, Rashmi Rani Boro, Aradhana Devi, Hridoy Jyoti Mahanta, Hridoy Jyoti Mahanta, Pankaj Bharali, Pankaj Bharali

“…Environmental factors, including water quality parameters and seasonal variations, may influence the prevalence of viral particles in wastewater. …”
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Preoperative digital 6-minute walk test reveals risk of postoperative pulmonary complications in patients undergoing heart valve surgery: a pilot feasibility study by Lixuan Li, Yuqiang Wang, Zhengbo Zhang, Zeruxin Luo, Wenqing Wang, Jiachen Wang, Xiaoli Liu, Ying Shi, Tian Yuan, Yong Fan, Hong Liang, Yingqiang Guo, Buqing Wang, Jing Wang, Jiaoxue Deng

“…Conclusion These pilot findings suggest that continuous physiological monitoring during 6MWT, when combined with clinical data, may provide a feasible approach for preoperative PPCs risk assessment. …”
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Right ventricular mechanical support as a bridge to lung transplantation: A literature review of current practices by Michaela Orlitová, Bert Demeulenaere, Dieter Van Beersel, Dirk E. Van Raemdonck, Robin Vos, Laurens J. Ceulemans, Steffen Rex, Laurent Godinas, Tom Verbelen, Arne P. Neyrinck

“…As BTT is often confronted with dynamic changes over time, respiratory and circulatory ECLS indications may be overlapping. Therefore, a personalized patient approach is needed. …”
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Molecular characterization and prognostic modeling associated with M2-like tumor-associated macrophages in breast cancer: revealing the immunosuppressive role of DLG3 by Ziqiang Wang, Jing Zhang, Huili Chen, Xinyu Zhang, Kai Zhang, Feiyue Zhang, Yiluo Xie, Hongyu Ma, Linfeng Pan, Qiang Zhang, Min Lu, Hongtao Wang, Chaoqun Lian

“…Consensus clustering analysis identified three molecular subtypes with distinct clinical features, and we explored potential differences in genomic mutations, pathway enrichment, and immune infiltration in patients between subtypes. Machine learning algorithms were used to screen key genes and construct M2-like macrophage-associated prognostic models. …”
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FLNA, a disulfidptosis-related gene, modulates tumor immunity and progression in colorectal cancer by Qiong Li, Renhong Huang, Lingling Lv, Haifeng Ying, Yuan Wu, YuQing Huang, Yuxi Li, Wen Ma, Xiaoshuang Liu, Qinghui Meng, Fengying Xing, Yan Shen, Lan Zheng

“…These findings suggest that modulating disulfidptosis in conjunction with immunotherapy may offer a novel treatment paradigm for CRC.…”
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A Novel Bilateral Data Fusion Approach for EMG-Driven Deep Learning in Post-Stroke Paretic Gesture Recognition by Alexey Anastasiev, Hideki Kadone, Aiki Marushima, Hiroki Watanabe, Alexander Zaboronok, Shinya Watanabe, Akira Matsumura, Kenji Suzuki, Yuji Matsumaru, Hiroyuki Nishiyama, Eiichi Ishikawa

“…In conclusion, although these results may be slightly lower than those of traditional supervised learning algorithms, the combination of bilateral data fusion and the absence of feature engineering offers a novel perspective for neurorehabilitation, where every data segment is critically significant.…”
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Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets by Sumaiya Binte Shahid, Maleeha Kaikaus, Md. Hasanul Kabir, Mohammad Abu Yousuf, A. K. M. Azad, A. S. Al-Moisheer, Naif Alotaibi, Salem A. Alyami, Touhid Bhuiyan, Mohammad Ali Moni, Mohammad Ali Moni, Mohammad Ali Moni

“…Although several machine learning (ML) and deep learning (DL) algorithms have been utilized to identify Alzheimer’s disease (AD) from MRI scans, precise classification of AD categories remains challenging as neighbouring categories share common features.MethodsThis study proposes transfer learning-based methods for extracting features from MRI scans for multi-class classification of different AD categories. …”
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Pre-treatment tumour PET metrics and clinical outcomes of anal cancer in patients living with and without HIV by Michael Pennock, N. Patrik Brodin, Christian Velten, Megi Gjini, Nitin Ohri, Chandan Guha, Shalom Kalnicki, Wolfgang A. Tome, Madhur K. Garg, Rafi Kabarriti

“…Pre-treatment PET metrics were calculated with semi-automatic gradient-based segmentation algorithms. Cox-proportional-hazard and Kaplan-Meier modelling were used to investigate tumour PET metrics and outcomes: overall survival (OS), progression-free survival (PFS), and locoregional control (LRC). …”
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Language task-based fMRI analysis using machine learning and deep learning by Elaine Kuan, Elaine Kuan, Elaine Kuan, Viktor Vegh, Viktor Vegh, Viktor Vegh, John Phamnguyen, John Phamnguyen, John Phamnguyen, Kieran O’Brien, Amanda Hammond, David Reutens, David Reutens, David Reutens, David Reutens

“…Their analysis necessitates the use of alternative methods such as machine learning (ML) and deep learning (DL) because task regressors may be difficult to define in these paradigms.MethodsUsing task-based language fMRI as a starting point, this study investigates the use of different categories of ML and DL algorithms to identify brain regions subserving language. …”
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Use of artificial intelligence to support prehospital traumatic injury care: A scoping review by Jake Toy, Jonathan Warren, Kelsey Wilhelm, Brant Putnam, Denise Whitfield, Marianne Gausche‐Hill, Nichole Bosson, Ross Donaldson, Shira Schlesinger, Tabitha Cheng, Craig Goolsby

“…The majority used machine learning (88%) alone or in conjunction with DL or NLP, and the top three algorithms used were support vector machine, logistic regression, and random forest. …”
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Repeatability and agreement of three biometers measuring corneal keratometry and astigmatism in eyes with cataract and high myopia by Haisheng Zhou, Tong Bao, Shuchan Li, Yunlei Pang, Qinglei Shao, Lifeng Wang, Lihua Yin, Jinli Wang, Na Hu, Yuanyuan Qi, Bozhou Zhang

“…However, discrepancies between these devices may exist, particularly in patients with high myopia. …”
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Correlation between the white blood cell/platelet ratio and 28-day all-cause mortality in cardiac arrest patients: a retrospective cohort study based on machine learning by Huai Huang, Guangqin Ren, Shanghui Sun, Zhi Li, Yongtian Zheng, Lijuan Dong, Shaoliang Zhu, Xiaosheng Zhu, Wenyu Jiang

“…Its integration into clinical decision-making may enhance the early identification of high-risk patients and guide tailored therapeutic interventions.…”
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Dynamic mapping of dissolved oxygen in freshwater aquaculture ponds using UAV multispectral imagery by Xingyu Liu, Yancang Wang, Xiaohe Gu, Mengjie Li, Wenxu Lv, Xuqing Li, Ruiyin Tang, Guangxin Chen, Baoyuan Zhang, Shuaifei Liu, Fajian Zong, Yongkun Ji, Xiaolong Yu, Tianen Chen

“…We proposed an estimation method of DO based on UAV multispectral data and machine learning algorithms. The method utilizes chlorophyll-a (Chl-a) and spectral indices as input features to accurately estimate DO content in water bodies. …”
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Creation of a collection of different biological sample types from elderly patients to study the relationship of clinical, systemic, tissue and cellular biomarkers of accumulation... by A. G. Sorokina, Ya. A. Orlova, O. A. Grigorieva, E. S. Novoseletskaya, N. A. Basalova, N. A. Alexandrushkina, M. A. Vigovsky, K. I. Kirillova, A. V. Balatsky, L. M. Samokhodskaya, N. V. Danilova, U. D. Dyachkova, D. А. Fedotov, A. A. Akopyan, V. V. Kakotkin, D. A. Asratyan, Zh. A. Akopyan, A. Yu. Efimenko

“…It has been shown that this may be due to the excessive accumulation of senescent (SC) cells in various tissues, which leads to the activation of chronic sterile inflammation, tissue dysfunction and, as a result, to the development of age-related diseases. …”
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Automated Assessment of the Pulmonary Artery-to-Ascending Aorta Ratio in Fetal Cardiac Ultrasound Screening Using Artificial Intelligence by Rina Aoyama, Masaaki Komatsu, Naoaki Harada, Reina Komatsu, Akira Sakai, Katsuji Takeda, Naoki Teraya, Ken Asada, Syuzo Kaneko, Kazuki Iwamoto, Ryu Matsuoka, Akihiko Sekizawa, Ryuji Hamamoto

“…We used the object-detection software YOLOv7 for the automated extraction of 3VV images and compared three segmentation algorithms: DeepLabv3+, UNet3+, and SegFormer. Using the PA/Ao ratios based on vascular segmentation, YOLOv7 plus UNet3+ yielded the most appropriate classification for normal fetuses and those with CHD. …”
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Heart failure with preserved left ventricular ejection fraction – clinical perspectives by Małgorzata Niemiec, Bartosz Gruchlik, Nicola Dyrek, Jan Niemiec, Bartosz Basiaga, Krzysztof Bednarz, Dorota Piłat, Kinga Czepczor, Maciej Podolski, Katarzyna Mizia-Stec

“…Additionally, diagnostic algorithms such as the HFA-PEFF score and H2FPEF score aid in differentiating HFpEF from other cardiovascular and non-cardiovascular diseases. …”
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Proteomic and metabolomic profiles of plasma-derived Extracellular Vesicles differentiate melanoma patients from healthy controls by SM Bollard, J Howard, C Casalou, BS Kelly, K O'Donnell, G Fenn, J O'Reilly, R Milling, M Shields, M Wilson, A Ajaykumar, K Triana, K Wynne, DJ Tobin, PA Kelly, A McCann, SM Potter

“…Proteomic and Metabolomic Analyses were performed, and machine learning algorithms were used to identify potential proteins and metabolites to differentiate the plasma-derived EVs from melanoma patients of different disease stages. …”
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A new 3D vision-based leaf rolling index (LRI) and its application as a stable indicator of cotton drought stress by Hangxing Huang, Jian Kang, Jinliang Chen, Risheng Ding, Hongna Lu, Siyu Wu, Shaozhong Kang

“…This study demonstrates that LRI based on 3D vision in cotton may serve as a reliable morphological indicator for indicating drought stress and evaluating photosynthetic efficiency.…”
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Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology by Anand E. Rajesh, Abraham Olvera-Barrios, Alasdair N. Warwick, Yue Wu, Kelsey V. Stuart, Mahantesh I. Biradar, Chuin Ying Ung, Anthony P. Khawaja, Robert Luben, Paul J. Foster, Charles R. Cleland, William U. Makupa, Alastair K. Denniston, Matthew J. Burton, Andrew Bastawrous, Pearse A. Keane, Mark A. Chia, Angus W. Turner, Cecilia S. Lee, Adnan Tufail, Aaron Y. Lee, Catherine Egan, UK Biobank Eye and Vision Consortium

“…RPS decouples traditional demographic variables from clinical imaging characteristics. RPS may serve as a useful metric to quantify the diversity of the training, validation, and testing datasets used in the development of AI algorithms to ensure adequate inclusion and explainability of the model performance, critical in evaluating all currently deployed AI models. …”
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