Leveraging multiple cell-death patterns based on machine learning to decipher the prognosis, immune, and immune therapeutic response of soft tissue sarcoma by Binfeng Liu, Shasha He, Chenbei Li, Zijian Xiong, Zhaoqi Li, Chengyao Feng, Hua Wang, Chao Tu, Zhihong Li

“…Abstract Soft tissue sarcomas (STS) imposes a substantial healthcare burden on society. …”
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Advancing mango quality assurance: Non‐destructive detection of spongy tissue using visible near‐infrared spectroscopy and machine learning classification by Patil Rajvardhan Kiran, Md Yeasin, Pramod Aradwad, T. V. Arunkumar, Roaf Ahmad Parray

“…Unfortunately, the widespread issue of spongy tissue (ST) disorder in Alphonso mangoes results in a soft, corky texture, affecting up to 30% of mangoes in a single batch. …”
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A unique unsupervised enhanced intuitionistic fuzzy C-means for MR brain tissue segmentation by Saritha Saladi, Karuna Yepuganti, Ravikumar Chinthaginjala, Tae-hoon Kim, Shafiq Ahmad

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Artificial intelligence aided microwave coagulation therapy: Analysis of heat transfer to tumor tissue via hybrid modeling by Zheng Yang, KeWei Dai, Wujun Zhang, Rui Zhou, QingBin Wu, Liang Liu, HuaiRong Qu

“…The results indicated that machine learning is a robust technique in evaluation of cancer therapy efficiency via hyperthermia method by determination of temperature distribution in the tumor tissue.…”
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AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes by Fan Feng, Abdallah I. Hasaballa, Ting Long, Xinyi Sun, Justin Fernandez, Carl-Johan Carlhäll, Jichao Zhao

Subjects: “…Epicardial adipose tissue…”
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The development of an attention mechanism enhanced deep learning model and its application for body composition assessment with L3 CT images by Liang Zhang, Jiao Li, Zhi Yang, Jun Yan, Lin Zhang, Long-bo Gong

“…This study aims to develop a web-based service that could automate calculating the areas of skeleton muscle (SM), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) according to L3 computed tomography (CT) images. 1500 L3 CT images were gathered from Xuzhou Central Hospital. …”
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Brain tissue oxidative damage as a possible mechanism for the deleterious effect of a chronic high dose of estradiol on learning and memory in ovariectomized rats by Fatimeh Khodabandehloo, Mahmoud Hosseini, Ziba Rajaei, Mohammad Soukhtanloo, Esmaeil Farrokhi, Mohsen Rezaeipour

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Assessment of submicron bone tissue composition in plastic-embedded samples using optical photothermal infrared (O-PTIR) spectral imaging and machine learning by Isha Dev, Sofia Mehmood, Nancy Pleshko, Iyad Obeid, William Querido

Subjects: “…Bone tissue composition…”
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Machine learning-based text mining for cutaneous myiasis and potential value of an accidental maggot therapy for complicated skin and soft tissue infection with sepsis by Zhiyuan Zhou, Chaoran Yu, Danhua Yao, Zhen Wang, Yuhua Huang, Pengfei Wang, Weimin Wang, Yousheng Li

“…BackgroundCutaneous myiasis, one of the most frequently diagnosed myiasis types, is defined as skin or soft tissue on a living host infested by dipterous larvae (maggots). …”
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CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning by Jiaxing Bai, Yichun Gao, Feng Zhou, Yushuang He, Chen Lin, Xiaobing Huang, Ying Wang

“…Results We propose CanCellCap, a multi-domain learning framework, to identify cancer cells in scRNA-seq data suitable for all tissues, cancers, and sequencing platforms. …”
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Automatic identification of hard and soft tissue landmarks in cone-beam computed tomography via deep learning with diversity datasets: a methodological study by Yan Jiang, Canyang Jiang, Bin Shi, You Wu, Shuli Xing, Hao Liang, Jianping Huang, Xiaohong Huang, Li Huang, Lisong Lin

“…This study aimed to apply a new deep learning method to predict and locate soft and hard tissue craniofacial landmarks on CBCT in patients with various types of malocclusion. …”
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Automatic Analysis of Ultrasound Images to Estimate Subcutaneous and Visceral Fat and Muscle Tissue in Patients with Suspected Malnutrition by Antonio Cuesta-Vargas, José María Arjona-Caballero, Gabriel Olveira, Daniel de Luis Román, Diego Bellido-Guerrero, Jose Manuel García-Almeida

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Computer vision applications for the detection or analysis of tuberculosis using digitised human lung tissue images - a systematic review by Kapongo D. Lumamba, Gordon Wells, Delon Naicker, Threnesan Naidoo, Adrie J. C. Steyn, Mandlenkosi Gwetu

Subjects: “…Human lung tissue…”
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Identification of patients with unstable angina based on coronary CT angiography: the application of pericoronary adipose tissue radiomics by Weisheng Zhan, Yixin Li, Hui Luo, Jiang He, Jiao Long, Yang Xu, Ying Yang

Subjects: “…pericoronary adipose tissue…”
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Poincare guided geometric UNet for left atrial epicardial adipose tissue segmentation in Dixon MRI images by Marjan Firouznia, Erik Ylipää, Markus Henningsson, Carl-Johan Carlhäll

Subjects: “…Epicadial adipose tissue…”
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Hyperspectral imaging to characterize the vegetative tissue biochemical changes in response to water deficit conditions in sorghum (Sorghum bicolor) by Yuvraj Chopra, Xinyan Xie, James Clothier, Souparno Ghosh, Hongfeng Yu, Harkamal Walia, Scott E. Sattler, Scott E. Sattler

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Machine learning and artificial intelligence: Enabling the clinical translation of atomic force microscopy-based biomarkers for cancer diagnosis by Aidan T. O’Dowling, Brian J. Rodriguez, Tom K. Gallagher, Stephen D. Thorpe

“…In this review, AFM and its use for the assessment of cell and tissue mechanics in cancer is described. Research relating to the application of artificial intelligence and machine learning in the analysis of AFM topography and force spectroscopy of cancer tissue and cells are reviewed. …”
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Integrated multi-omics analysis and machine learning identify G protein-coupled receptor-related signatures for diagnosis and clinical benefits in soft tissue sarcoma by Duo Wang, Duo Wang, Duo Wang, Jihao Tu, Jihao Tu, Jianfeng Liu, Jianfeng Liu, Yuting Piao, Yuting Piao, Yiming Zhao, Yiming Zhao, Ying Xiong, Ying Xiong, Jianing Wang, Jianing Wang, Xiaotian Zheng, Xiaotian Zheng, Bin Liu, Bin Liu

Subjects: “…soft tissue sarcoma…”
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Editor Note to article entitled “A modified U-Net convolutional neural network for segmenting periprostatic adipose tissue based on contour feature learning”

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An Integrated Nomogram Combining Deep Learning and Radiomics for Predicting Malignancy of Pulmonary Nodules Using CT‐Derived Nodules and Adipose Tissue: A Multicenter Study by Shidi Miao, Qifan Xuan, Hanbing Xie, Yuyang Jiang, Mengzhuo Sun, Wenjuan Huang, Jing Li, Hongzhuo Qi, Ao Li, Qiujun Wang, Zengyao Liu, Ruitao Wang

Subjects: “…adipose tissue…”
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