Tumor mutational burden and survival on immune checkpoint inhibition in >8000 patients across 24 cancer types by Vivek Subbiah, Samuel J Klempner, Neeraj Agarwal, David P Carbone, Amit Mahipal, Shilpa Gupta, David Fabrizio, Jeffrey S Ross, Gerald Li, David R Gandara, Miles C Andrews, Jonathan W Riess, Ramez N Eskander, Ryon P Graf, Geoffrey R Oxnard, Sarah Sammons, Jeremy Snider, Lilia Bouzit, Cheryl Cho-Phan, Megan Price, Julia C F Quintanilha, Richard Sheng Poe Huang

“…This study used the TMB algorithm from the FDA-approved test supporting solid tumor CDx and composite mortality variable validated against the national death index: real-world overall survival (rwOS). …”
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Automated analysis of vessel morphometry in retinal images from a Danish high street optician setting. by Josefine Freiberg, Roshan A Welikala, Jens Rovelt, Christopher G Owen, Alicja R Rudnicka, Miriam Kolko, Sarah A Barman, FOREVER consortium

“…The mean (± standard deviation) vessel width of the ground truth was 16.21 (4.73) pixels compared to that predicted by QUARTZ of 17.01 (4.49) pixels, resulting in a difference of -0.8 (1.96) pixels. The differences were stable across a range of vessels. …”
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Computational Techniques for Analysis of Thermal Images of Pigs and Characterization of Heat Stress in the Rearing Environment by Maria de Fátima Araújo Alves, Héliton Pandorfi, Rodrigo Gabriel Ferreira Soares, Gledson Luiz Pontes de Almeida, Taize Calvacante Santana, Marcos Vinícius da Silva

“…The results indicated that the automated color segmentation method was able to identify the region of interest with an average accuracy of 88% and the temperature extraction differed from the Therma Cam program by 0.82 °C. Using a Vector Support Machine (SVM), the research achieved an accuracy rate of 80% in the automatic classification of pigs in comfort and thermal discomfort, with an accuracy of 91%, indicating that the proposal has the potential to monitor and evaluate the thermal comfort of pigs effectively.…”
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Circulating biomarkers associated with pediatric sickle cell disease by Cecilia Elorm Lekpor, Cecilia Elorm Lekpor, Cecilia Elorm Lekpor, Felix Abekah Botchway, Adel Driss, Alaijah Bashi, Afua D. Abrahams, Kwadwo Asamoah Kusi, Godfred Futagbi, Ernest Alema-Mensah, William Agbozo, Wesley Solomon, Adriana Harbuzariu, Andrew A. Adjei, Jonathan K. Stiles

“…We conclude that a predictive algorithm based on these biomarkers could be developed and validated through longitudinal assessment of within-genotype differences and correlation of the data with disease severity or outcomes. …”
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Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis by Bo Fan, Luxin Zhang, Hepeng Cui, Shanshan Bai, Haifeng Gao, Shengxiang Xiang, Yuchao Wang, Zhuwei Song, Jiaqiang Chen, Guanghai Yu, Jianbo Wang, Liang Wang, Zhiyu Liu

“…We developed UR predictive models using ten machine learning algorithms and evaluated the model performance by the area under the ROC curve (AUC), accuracy, sensitivity, and other metrics (F1 score, Brier score, C-index). …”
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Early Warning of Nerve Agent Release in Large Indoor Environments Based on Encoder-Decoder Coupling Physics-Informed Neural Network by Shuobei Sun, Yang Peng, An Wang, Yiwen Xie, Yang Hu, Zhongyu Hou

“…Extensive experiments are conducted, and the results indicate that our model attains the highest performance among all the algorithms proposed in this paper. The difference between the actual and predicted results is small, and the scatter points are distributed around the fitted curves. …”
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Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images by Huo Li, Jing Qin, Zhongzhuan Li, Rong Ouyang, Zhixin Chen, Shijiang Huang, Shufen Qin, Qiliang Huang

“…Abstract This meta-analysis evaluated diagnostic performance of deep learning (DL) algorithms using whole slide images (WSIs) for detecting microsatellite instability-high (MSI-H) in colorectal cancer (CRC). …”
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The role of neural artificial intelligence for diagnosis and treatment planning in endodontics: A qualitative review by Ashwaq F. Asiri, Ahmed Sulaiman Altuwalah

“…Methods: The present research question focused on the literature search about different AI algorithms and models of AI assisted endodontic diagnosis and treatment planning. …”
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Some Improvements on Good Lattice Point Sets by Yu-Xuan Lin, Tian-Yu Yan, Kai-Tai Fang

“…This paper incorporates a threshold-accepting algorithm in the construction of GGLP sets and adopts Frobenius distance as the space-filling criterion for large-sized cases. …”
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Identifying the Peak Flowering Dates of Winter Rapeseed with a NBYVI Index Using Sentinel-1/2 by Fazhe Wu, Peng Lu, Shengbo Chen, Yucheng Xu, Zibo Wang, Rui Dai, Shuya Zhang

“…Currently, the Normalized Difference Yellow Index (NDYI), widely used for monitoring these dates, faces stability and accuracy issues due to atmospheric interference and limited optical data during the flowering period. …”
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Patient Controlled Analgesia for Adults with Sickle Cell Disease Awaiting Admission from the Emergency Department by Josue Santos, Sasia Jones, Daniel Wakefield, James Grady, Biree Andemariam

“…Objectives. Evaluate the proportion of ED visits in which PCA was started in the ED. …”
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Insights from using a Wearable Air Quality Sensor with Solar Energy Harvesting Features by Baguio Angelo Jay, Reyes Ronaldo, De Guzman Jaybie, Rosales Marc, Hizon John Richard

“…The application offers air quality index (AQI) interpretation, detailed sensor data, and spatiotemporal tracking to evaluate personal exposure levels. To address the limitation of battery life in wearable devices, the system incorporates a battery-aware algorithm and solar energy harvesting, extending operational runtime. …”
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Improving the accuracy of calculating the speed of movement at the time of an accident in collisions with incomplete overlap of a part of the car by E. V. Golov

“…After studying a number of collisions with incomplete overlap and excluding the ‘extra’ values of penetration, the speed equivalent to the energy cost for the development of residual deformations and errors (the difference between the true collision speed and the established one without taking into account the ‘falling out’ values of deformations) was calculated and it was found that the use of the algorithm taking into account the coefficient of variation led to sufficiently accurate calculation results.Discussions. …”
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Establishing an AI-based diagnostic framework for pulmonary nodules in computed tomography by Ruiting Jia, Baozhi Liu, Mohsin Ali

“…Conclusion The application of the new diagnostic framework based on AI algorithms increased the accuracy of the diagnosis compared with the traditional approach. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The model's efficacy was evaluated through its application to both large and small, differently distributed data sets. …”
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Integrating Fine-Grained Classification and Motion Relation Analysis for Face Anti-Spoofing by Ziyang Cheng, Xiafen Zhang

“…Besides, we created our own dataset PR-FASD to evaluate the model’s generalization ability, achieving good results.…”
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Intraoperative cerebral oximetry in open heart surgeries reduced postoperative complications: A retrospective study. by Norsham Juliana, Noor Anisah Abu Yazit, Suhaini Kadiman, Kamilah Muhammad Hafidz, Sahar Azmani, Nur Islami Mohd Fahmi Teng, Srijit Das

“…They were treated using a standardized algorithm to maintain rScO2 not lower than 20% of baseline rScO2. …”
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The soft computing approaches in optimising multi-objective mechanical design of a weeding robot by Afsaneh Soleimani

“…Furthermore, the maximum absolute difference between the ANN and FEM models was <6.6 %.…”
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Optimizing the dynamic treatment regime of outpatient rehabilitation in patients with knee osteoarthritis using reinforcement learning by Sijia Liu, Jiawei Luo, Chengqi He

“…Results In the application of deep reinforcement learning algorithms to treatment optimization, the BCQ algorithm achieves the highest success rate (79.1%), outperforming both DQN (68.1%) and DDPG (76.2%). …”
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Cutting guides in mandibular tumor ablation: Are we as accurate as we think? by Omar Suhaym, Loren Moles, Nicholas Callahan

“…Material and Methods: The pre and postoperative 3D models were aligned using an automated surface registration feature based on the iterative closest point algorithm. The differences in osteotomy line deviation, linear and angle measurements, and 3D volume quantification of the pre and post models were measured. …”
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