Comparative Analysis of Random Forest and Logistic Regression Methods in Predicting Leukemia Blood Cancer Using Microscopic Blood Cell Images by Jepri Banjarnahor, Galuh Wira Relungwangi

“…These findings suggest that ensemble methods like RF are particularly well-suited for detecting one of the most deadly blood cancers, leukemia, due to their ability to handle complex feature interactions in medical imaging data. While both algorithms have potential as clinical decision support, future research can test deep learning techniques and larger datasets to improve the accuracy and reliability of the model.…”
Get full text

Do Calibrated Recommendations Affect Explanations? A Study on Post-Hoc Adjustments by Paul Dany Flores Atauchi, André Levi Zanon, Leonardo Chaves Dutra da Rocha, Marcelo Garcia Manzato

“…Transparency is important, as explanations can enhance user trust and persuasion, while calibration aligns users’ interests with recommendation lists, improving fairness and reducing popularity bias. …”
Get full text

Prescribing the Future: The Role of Artificial Intelligence in Pharmacy by Hesham Allam

“…This study delves into tools and methodologies enabling AI implementation, addressing ongoing challenges such as data privacy, algorithmic transparency, and ethical considerations while proposing actionable strategies to overcome these barriers. …”
Get full text

A review of evaluation methods for Duchenne muscular dystrophy by Zeinab Famili, Hadi Soltanizadeh, Bita Shalbafan

“…These advancements aim to enhance the accuracy, reliability, and validity of DMD diagnosis while offering a more comprehensive approach to assessing individuals with the condition. …”
Get full text

3D Brain Segmentation Using Dual-Front Active Contours with Optional User Interaction by Hua Li, Anthony Yezzi, Laurent D. Cohen

“…Important attributes of 3D brain cortex segmentation algorithms include robustness, accuracy, computational efficiency, and facilitation of user interaction, yet few algorithms incorporate all of these traits. …”
Get full text

Regional Logistics Network Design in Mitigating Truck Flow-Caused Congestion Problems by Mi Gan, Xinyuan Li, Fadong Zhang, Zhenggang He

“…We model the RLN design problem as a minimal cost problem and design double-layer Lagrangian relaxation heuristics algorithms to solve the model problems. Through experiments with data from the six-node problem and Sioux-Falls network, the effectiveness of the models and algorithms is verified. …”
Get full text

Analyzing the dynamics between crude oil spot prices and futures prices by maturity terms: Deep learning approaches to futures-based forecasting by Jeonghoe Lee, Bingjiang Xia

“…Predicting crude oil prices is critical due to their significant impact on the global economy. While numerous studies have focused on time series forecasting and machine learning methods to predict crude oil spot prices, the use of futures prices segmented by the maturity terms as predictors is comparatively underexplored. …”
Get full text

Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC by Muhammad Ricky Perdana Putra, Ema Utami

“…As a form of contribution, this study will compare the performance of models built from stacking and blending techniques. The algorithms used in the base model are KNN, Decision Tree, and Naïve Bayes, while the meta-model uses XGBoost. …”
Get full text

Severe cutaneous adverse reactions associated with second-generation androgen receptor antagonists in prostate cancer patients. by Junfa Liu, Xiongfei Liu, Hongbo Zeng, Yangyang Tong, Zhe Chen, Zhitao Dong

“…SCARs related to apalutamide detected positive signals in all four algorithms, while enzalutamide and darolutamide did not show positive signals. …”
Get full text

Digital Technologies and Labour Relations: Legal Regulation in Russia and China by E. Ofman, M. Sagandykov

“…The widespread use of digital technologies in the field of labour relations raises the issue of examining the readiness and capability of the legislation in Russia and China to adequately regulate labour in modern workplace conditions while respecting the balance of interests and the rights of employees, employers and the state. …”
Get full text

Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

“…The classical methods, also known as hard methods, are based on the accuracy of calculations, while the real world is founded on the inaccuracy of boundaries and the uncertainties, which is more consistent with soft computing methods. …”
Get full text

Improving the measurement standard for the metrological support of the porometry of solid substances and materials by E. P. Sobina

“…The GET 210-2014 has calibration and measurement capabilities for pore size in a range from 2 to 100 nm, while in practice there is a need to control the pore size of solid substances and materials in a range from 100 to 10,000 nm. …”
Get full text

Advances and challenges in neoantigen prediction for cancer immunotherapy by Yi Zhang, Ting-Ting Chen, Xiong Li, Ai-Lin Lan, Peng-Fei Ji, Ya-Juan Zhu, Xue-Yao Ma

“…Neoantigens, derived from tumor-specific mutations, are promising targets of cancer immunotherapy by eliciting tumor-specific T-cell responses while sparing normal cells. Accurate neoantigen prediction relies on immunogenomics and immunopeptidomics. …”
Get full text

Artificial intelligence demonstrates potential to enhance orthopaedic imaging across multiple modalities: A systematic review by Umile Giuseppe Longo, Alberto Lalli, Guido Nicodemi, Matteo Giuseppe Pisani, Alessandro De Sire, Pieter D'Hooghe, Ara Nazarian, Jacob F. Oeding, Balint Zsidai, Kristian Samuelsson

“…Abstract Purpose While several artificial intelligence (AI)‐assisted medical imaging applications are reported in the recent orthopaedic literature, comparison of the clinical efficacy and utility of these applications is currently lacking. …”
Get full text

Distributed Graph Coloring for Self-Organization in LTE Networks by Furqan Ahmed, Olav Tirkkonen, Matti Peltomäki, Juha-Matti Koljonen, Chia-Hao Yu, Mikko Alava

“…We apply both local search algorithms and complete algorithms such as Asynchronous Weak-Commitment Search. …”
Get full text

Emerging generalization advantage of quantum-inspired machine learning in the diagnosis of hepatocellular carcinoma by Domenico Pomarico, Alfonso Monaco, Nicola Amoroso, Loredana Bellantuono, Antonio Lacalamita, Marianna La Rocca, Tommaso Maggipinto, Ester Pantaleo, Sabina Tangaro, Sebastiano Stramaglia, Roberto Bellotti

“…By using previously characterized genetic communities, we minimize the computational complexity associated with the number of qubits, enabling the execution of quantum-inspired algorithms on classical machines. We consider two categories of such algorithms: parameterized quantum circuits (PQC) and tensor networks. …”
Get full text

Daily time-use compositions of physical behaviours and its association with evaluative and experienced wellbeing: a multilevel compositional analysis by Anantha Narayanan, Scott Duncan, Conal Smith, Flora Le, Lisa Mackay, Julia McPhee, Basile Chaix, Tom Stewart

“…Evaluative wellbeing reflects an individual's overall life assessment, while experienced wellbeing captures real-time affective states. …”
Get full text

Identifying Common Diagnostic Biomarkers and Therapeutic Targets between COPD and Sepsis: A Bioinformatics and Machine Learning Approach by Li X, Xiao Y, Yang M, Zhang X, Yuan Z, Zhang Z, Zhang H, Liu L, Zhao M

“…Immune cell infiltration was analyzed with CIBERSORT, while transcription factor (TF) and miRNA networks were constructed using NetworkAnalyst. …”
Get full text

Epidemiological association of the COVID-19 pandemic on Mycoplasma pneumoniae infections in children in Tianjin, China: a single-centre retrospective study (2017–2024) by Wei Wang, Lu Wang, Run Guo, Yun Bo, Yingxue Zou, Hualei Cui

“…The highest annual positivity rate was observed in 2024 (55.38%, 14 210/25 661), while the lowest rate occurred in 2020 (10.18%, 222/2181). …”
Get full text

Evaluation of a content-based image retrieval system for radiologists in high-resolution CT of interstitial lung diseases by Benjamin Böttcher, Marly van Assen, Roberto Fari, Philipp L. von Knebel Doeberitz, Eun Young Kim, Eugene A. Berkowitz, Felix G. Meinel, Carlo N. De Cecco

“…Conclusion CBIR software improves in-training radiologist diagnostic accuracy and confidence while reducing interpretation time in ILD assessment. …”
Get full text