Artificial intelligence in molecular and genomic prostate cancer diagnostics by A. O. Morozov, A. K. Bazarkin, S. V. Vovdenko, M. S. Taratkin, M. S. Balashova, D. V. Enikeev

“…Many molecular genetic analyses have been proposed to predict the course of prostate cancer (PCa). They have the potential to develop artificial intelligence (AI) algorithms by processing large amounts of data and define connections between them.Objective. …”
Get full text

Enhancing proximal and remote sensing of soil organic carbon: A local modelling approach guided by spectral and spatial similarities by Qi Sun, Pu Shi

“…Optical proximal and remote sensing of soils capture essential spectral features needed to develop spectra-based prediction models for soil organic carbon (SOC), which determines a variety of biogeochemical processes on Earth. …”
Get full text

Advancement in public health through machine learning: a narrative review of opportunities and ethical considerations by Sumit Singh Dhanda, Deepak Panwar, Chia-Chen Lin, Tarun Kumar Sharma, Deependra Rastogi, Shantanu Bindewari, Anand Singh, Yung-Hui Li, Neha Agarwal, Saurabh Agarwal

“…Abstract This narrative review presents a comprehensive and state-of-the-art synthesis of how machine learning (ML) is transforming public health through enhanced prediction, personalized treatment, real-time surveillance, and intelligent resource optimization. …”
Get full text

A manganese metabolism-related gene signature stratifies prognosis and immunotherapy efficacy in kidney cancer by Yang Liu, Hao Ye, Ruoxuan Zhang, Xiaolong Liu, Ranlu Liu

“…We constructed a clinical nomogram incorporating the MMCG risk score and other clinical parameters, which demonstrated highly accurate predictive capabilities. Immune infiltration analysis and immune therapy response predictions indicated that patients in Cluster I and the high-risk group showed low responses to immune therapy. …”
Get full text

Identification of a novel ferroptosis-induced immunogenic cell death related signature based on a machine learning framework in colorectal cancer by Feng Zhu, Xin Liu, Huiyuan Li, Jianfeng Li, Hongzhang Liu, Yusheng Wang

“…The RSF algorithm was chosen for further analysis due to its strong predictive performance, making it a robust tool for our study. …”
Get full text

Identification of intraoperative hypoxemia and hypoproteinemia as prognostic indicators in anastomotic leakage post-radical gastrectomy: an 8-year multicenter study utilizing machi... by Yuan Liu, Songyun Zhao, Xingchen Shang, Wei Shen, Wenyi Du, Ning Zhou

“…To ensure model robustness, we applied k-fold cross-validation for internal validation of the four models and subsequently validated them using independent datasets.ResultsIn contrast to the other machine learning models employed in this study, the XGBoost algorithm exhibited superior predictive performance in identifying mortality risk factors for patients with AL across one, three, and five-year intervals. …”
Get full text

Smart photonic wristband for pulse wave monitoring by Renfei Kuang, Zhuo Wang, Lin Ma, Heng Wang, Qingming Chen, Arnaldo Leal Junior, Santosh Kumar, Xiaoli Li, Carlos Marques, Rui Min

“…Several different speckle pattern processing algorithms and POFs with different core diameters were evaluated. …”
Get full text

Artificial Intelligence in Uropathology by Katia Ramos Moreira Leite, Petronio Augusto de Souza Melo

“…The accurate classification of tumors and identification of prognostic and predictive factors demand specialized expertise and attention. …”
Get full text

Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

“…The target variable (predicted class) is the ratio of likes and dislikes given to the review by other buyers. …”
Get full text

A Review of Generative Design Using Machine Learning for Additive Manufacturing by Parankush Koul

“…The scalability and predictability of artificial intelligence (AI) models make handling huge data easy and enable scale-up of production without compromising quality. …”
Get full text

Natural Killer (NK) Cell Alloreactivity in Haploidentical Stem Cell Transplantation by Mar Luis-Hidalgo, José Luis Piñana, Carlos Solano, Dolores Planelles

“…These models consider the presence or absence of specific ligands or receptors and/or <i>KIR</i> genes in the donor and recipient to predict alloreactivity. Determining the best model for predicting KIR alloreactivity and its significance in donor selection algorithms for haploidentical transplantation is still under investigation.…”
Get full text

Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation by Lalitha Krishnasamy, Siva C, Rajesh Kumar Dhanaraj, Mahmoud Ahmad Al-Khasawneh, Taher Al-Shehari, Nasser A. Alsadhan, Shitharth Selvarajan

“…The better performance demonstrates that RL- BiLSTM with ASBO is well-suited to predict congestion patterns in road networks.…”
Get full text

Deep-learning structure elucidation from single-mutant deep mutational scanning by Zachary C. Drake, Elijah H. Day, Paul D. Toth, Steffen Lindert

“…Abstract Deep learning has revolutionized the field of protein structure prediction. AlphaFold2, a deep neural network, vastly outperformed previous algorithms to provide near atomic-level accuracy when predicting protein structures. …”
Get full text

A Comparative Study of Data-Driven Prognostic Approaches under Training Data Deficiency by Jinwoo Song, Seong Hee Cho, Seokgoo Kim, Jongwhoa Na, Joo-Ho Choi

“…Data Augmentation Prognostics (DAPROG) also exhibits lower variance in its predictions, suggesting a more consistent performance. …”
Get full text

A rapid, affordable, and reliable method for profiling microbiome biomarkers from fecal images by Donghyeok Lee, Annemiek Maaskant, Huy Ngo, Roy C. Montijn, Jaco Bakker, Jan A.M. Langermans, Evgeni Levin

“…Our results revealed a successful proof of concept for “high and low” prediction of diversity, fecal consistency, and “present or absent” for selected bacterial genera.…”
Get full text

Construction and Validation of a Hospital Mortality Risk Model for Advanced Elderly Patients with Heart Failure Based on Machine Learning by Shang S, Wei M, Lv H, Liang X, Lu Y, Tang B

“…Shuai Shang,1,2,&amp;ast; Meng Wei,1,2,&amp;ast; Huasheng Lv,1,2,&amp;ast; Xiaoyan Liang,1,2 Yanmei Lu,1,2 Baopeng Tang1,2 1Department of Cardiac Pacing and Electrophysiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 2Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China&amp;ast;These authors contributed equally to this workCorrespondence: Baopeng Tang, Department of Cardiac Pacing and Electrophysiology, Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, People’s Republic of China, Email tangbaopeng1111@163.com Yanmei Lu, Department of Cardiac Pacing and Electrophysiology, Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, No. 137, South Liyushan Road, Xinshi Zone, Urumqi, People’s Republic of China, Email gracy@189.cnPurpose: This study aimed to develop and validate a model based on machine learning algorithms to predict the risk of in-hospital death among advanced elderly patients with Heart Failure (HF).Methods: A total of 4580 advanced elderly patients who were admitted to the hospital and diagnosed with HF from May 2012 to September 2023 were included in this study, among whom 552 cases (12.5%) died. …”
Get full text

Solutions to face and combat disinformation: proposals in scientific literature from the web of science by Jônatas Edison da Silva, Enrique Muriel-Torrado

“…(a) Science and scientific community; (b) States and governments; (c) Media and communications; (d) Platforms and algorithms; (e) Users and education; and (f) Others. …”
Get full text

Basics of the semantic portal of nuclear knowledge BelNET functioning by S. N. Sytovа, V. V. Haurylavets, A. P. Dunets, A. N. Kavalenka, S. V. Charapitsa

“…The described basic principles of organization and algorithms based on semantic technologies, which underlie the functioning of the content management system of the scientific and educational portal eLab-Science and the Belarusian nuclear knowledge portal BelNET, created on its basis, make it possible to effectively implement the placement of content records in the portal taxonomy, as well as automatically generate a set of keywords for the resource being created…”
Get full text

3D-CNN with Multi-Scale Fusion for Tree Crown Segmentation and Species Classification by Jiayao Wang, Zhen Zhen, Yuting Zhao, Ye Ma, Yinghui Zhao

Get full text

Giant pseudoangiomatous stromal hyperplasia of breast: Management challenge of gigantomastia with ptosis by Uma Krishnaswamy, K Balachandar, Thulasilingam Kathirazhagan

“…A pragmatic and individualized approach is the solution in the absence of reliable algorithms for management. This instance of a giant PASH tumor producing gigantomastia with severe ptosis is a case to point. …”
Get full text