Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes by Cheng C, Wang Y, Zhao J, Wu D, Li H, Zhao H

“…These techniques hold certain application prospects for the diagnosis of TNBC, assessment of treatment response, and long-term prognosis prediction. This article reviews recent progress in the application of deep learning, ultrasound, MRI, and radiomics for TNBC diagnosis and treatment, based on research from both domestic and international scholars.Keywords: deep learning, MRI, radiomics, triple negative breast cancer, ultrasound…”
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Peripapillary atrophy area predicts the decrease of macular choroidal thickness in young adults during myopia progression by Xun Xu, Jianfeng Zhu, Ying Fan, Luyao Ye, Ya Shi, Menghan Li, Qiuying Chen, Guangyi Hu, Jiamin Xie, Jiangnan He

“…Combining the baseline PPA area with the change in AL could be used to predict the decrease of macular ChT.…”
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Predicting treatment response to ketamine in treatment-resistant depression using auditory mismatch negativity: Study protocol. by Josh Martin, Fatemeh Gholamali Nezhad, Alice Rueda, Gyu Hee Lee, Colleen E Charlton, Milad Soltanzadeh, Karim S Ladha, Sridhar Krishnan, Andreea O Diaconescu, Venkat Bhat

“…The parameters obtained from fitting computational models to EEG recordings may facilitate single-patient treatment predictions, which could provide clinically useful prognostic information.…”
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Prediction Model of Rate Decline for Acid-Fracturing Vertical Wells in Pore-Cavity-Fracture Carbonate Reservoirs by Mingxian Wang, Zifei Fan, Zhifeng Zhu, Qingli Wang, Lun Zhao, Wenqi Zhao, Chengqian Tan

“…In view of the lack of rate decline prediction model of acid-fracturing vertical wells (AFVWs) in pore-cavity-fracture carbonate reservoirs, a prediction model of AFVWs with consideration of wormholes and fractures generated by acid fracturing is established by using the idea of compound reservoir. …”
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A Multilayer Model Predictive Control Methodology Applied to a Biomass Supply Chain Operational Level by Tatiana M. Pinho, João Paulo Coelho, Germano Veiga, A. Paulo Moreira, José Boaventura-Cunha

“…This novel strategy enables the online scheduling of the supply chain transport operation using a predictive approach.…”
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Corrigendum to “Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network” by Ying Chen, Ruirui Zhang

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Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas. by Masaya Sato, Ryosuke Tateishi, Yogev Zohar, Jiro Sato, Takeyuki Watadani, Makoto Moriyama, Taijiro Wake, Ryo Nakagomi, Mizuki Nishibatake Kinoshita, Takuma Nakatsuka, Tatsuya Minami, Koji Uchino, Kenichiro Enooku, Hayato Nakagawa, Yoshinari Asaoka, Ryo Yamada, Nitzan Even, Inbal Amitai, Yossi Abu, Mitsuhiro Fujishiro, Kazuhiko Koike

“…<h4>Conclusion</h4>BioTrace effectively generates an ablation damage prediction map based on real-time ultrasound imaging, accurately predicting the ablation zone as confirmed by 24-hour post-procedural CECT. …”
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Can Pregnancy Experience Predict Birth Experience, Postpartum Depression and Anxiety? A Prospective Descriptive Study by Monireh Moniri, Mojgan Mirghafourvand, Shahla Meedya, Solmaz Ghanbari‐Homaie

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Forecasting of Covid-19 cases based on prediction using artificial neural network curve fitting technique by S.K. Tamang, P.D. Singh, B. Datta

“…Artificial neural network is considered one of the most efficient methods in processing huge data sets that can be analyzed computationally to reveal patterns, trends, prediction, forecasting etc. It has a great prospective in engineering as well as in medical applications. …”
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Development of Stacked Long Short-Term Memory Neural Networks with Numerical Solutions for Wind Velocity Predictions by Chih-Chiang Wei

“…For more accurate wind speed predictions during a typhoon episode, we used cutting-edge machine learning techniques to construct a wind speed prediction model. …”
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BuDDI: Bulk Deconvolution with Domain Invariance to predict cell-type-specific perturbations from bulk. by Natalie R Davidson, Fan Zhang, Casey S Greene

“…Finally, we validated BuDDI on predicting sex-specific differences, an experimental design where it is not possible to have matched samples. …”
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Predicting Disease Onset from Mutation Status Using Proband and Relative Data with Applications to Huntington's Disease by Tianle Chen, Yuanjia Wang, Yanyuan Ma, Karen Marder, Douglas R. Langbehn

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Prediction and optimization of acoustic absorption performance of quasi-Helmholtz acoustic metamaterials based on LightGBM algorithm by Jianxin Xu, Weikang Mao, Xiaoqian Yu, Bingfei Liu

“…Optimization of acoustic metamaterial structures and prediction of acoustic absorption properties have received much attention in various fields. …”
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Is the Time Necessary to Obtain Preoperative Stabilization a Predictive Index of Outcome in Neonatal Congenital Diaphragmatic Hernia? by Andrea Gentili, Rosina De Rose, Elisa Iannella, Maria Letizia Bacchi Reggiani, Mario Lima, Simonetta Baroncini

“…The study aims to verify if the time of preoperative stabilization (≤24 or >24 hours) could be predictive for the severity of clinical condition among patients affected by congenital diaphragmatic hernia. …”
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Simple shell measurements do not consistently predict habitat in turtles: a reply to Lichtig and Lucas (2017) by Evers, Serjoscha W., Foth, Christian, Joyce, Walter G., Hermanson, Guilherme

“…When these choices are reversed, species measurements for fossils are corrected, and phylogenetic flexible discriminant analysis applied, habitat cannot be correctly predicted for extant turtles based on these simple shell measurements. …”
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VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction by Omer Nacar, Mohamed Abdelkader, Lahouari Ghouti, Kahled Gabr, Abdulrahman Al-Batati, Anis Koubaa

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Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks by Narayanan Manikandan, Srinivasan Subha

“…Particularly software developed with prediction based results is always a big challenge for designers. …”
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Evaluation of Serum Bilirubin as a Predictive Marker for Simple and Complicated Appendicitis in Sulaimani Emergency Teaching Hospital by Seerwan Hama Shareef, Dara Ahmed Mohammed, Goran Ameer Ahmed

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Nomogram models for predicting outcomes in thyroid cancer patients with distant metastasis receiving 131iodine therapy by Shui Jin, Xuemei Ye, Ting Ye, Xinyu Chen, Jianfeng Ji, Jinyu Wang, Xin Zhu, Xiaochun Mao, Takahiro Higuchi, Heqing Yi

“…These predictors were used to construct nomograms for predicting PFS and OS. Low-risk patients had significantly longer PFS and OS compared to high-risk patients, with 10-year PFS rates of 81.1% vs. 51.9% and 10-year OS rates of 86.2% vs. 37.4%. …”
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Prediction of Nonunion in the Diaphyseal Segment of Long Bones in Adults Using the RUST Score and Modified RUST Score by Anupam Gupta, C Prasanna, BK DinakarRai

“…The 3-month mRUST score for humeral fractures had no predictive value. Conclusion: Lower 3-month RUST scores for tibial and femoral fractures are strongly associated with nonunion, and there is a need for secondary intervention. …”
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