Next generation sequencing reveals the mutation landscape of Chinese MDS patients and the association between mutations and AML transformations by Yu Liu, Huanchen Cheng, Mei Cheng, Meng Sun, Jun Ma, Tiejun Gong

Get full text

Implementing a transmural model of early palliative care in advanced dementia: the use of a hybrid effectiveness-implementation study design by Allyn Hum, Palvinder Kaur, Wen Yang Goh, Riyin Tay, Han Yee Neo, Mervyn Yong Hwang Koh, Noorhazlina Binte Ali, Wee Shiong Lim, Yu-Ling Jackie Tan, Huei Yaw Wu, Palvannan Kannapiran, Hwee Teng Robyn Tan, Yan Sun, Chin Ee Ong, Ravinder Singh Sachdev, Zhi Jun Low, Lee Hung Tey, Woan Shin Tan, Yew Yoong Ding

Get full text

Machine learning-assisted multi-dimensional transcriptomic analysis of cytoskeleton-related molecules and their relationship with prognosis in hepatocellular carcinoma by Yuxuan Li, Mingbo Cao, Xiaorui Su, Gaoyuan Yang, Yupeng Ren, Zhiwei He, Zheng Shi, Ziyi Hu, Guirong Liang, Qi Zhang, Zhicheng Yao, Meihai Deng

Get full text

Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

Get full text

Lake Water Level Estimation with Artificial Intelligence Methods by Aysu AYAR, Fatih ÜNEŞ, Bestami TAŞAR, Hakan VARÇIN

Get full text

A Dual Output Temporal Convolutional Network With Attention Architecture for Stock Price Prediction and Risk Assessment by Arindam Kishor Biswas, Md Shariful Alam Bhuiyan, Md Nazmul Hossain Mir, Ashifur Rahman, M. F. Mridha, Md Rashedul Islam, Yutaka Watanobe

Get full text

Impact of postoperative depression and immune-inflammatory biomarkers on the prognosis of patients with esophageal cancer receiving minimally invasive esophagectomy: a retrospectiv... by Pei-xin Tan, Lin-xin Wu, Shuang Ma, Shi-jing Wei, Tai-hang Wang, Bing-chen Wang, Bing-bing Fu, Jia-shuo Yang, Qing Zhao, Qing Zhao, Li Sun, Yi Liu, Tao Yan

Get full text

Text Mining to Understand Disease-Causing Gene Variants by Leena Nezamuldeen, Mohsin Saleet Jafri

Get full text

Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

Get full text

Optimizing predictive accuracy of the two-component repair model for pediatric TBI: Pediatric-specific parameters, toxicity endpoint harmonization, and dose-rate safeguards by Ruijie Meng

Get full text

Feasible Time Evolution Model That Predicts Breakdown in Thin SiO2 Films within Unstressed Interval after Constant-Current Stress by Yasuhisa Omura

Get full text

Use of Artificial Intelligence–Generated Synthetic Data to Augment and Enhance the Performance of Clinical Prediction Models in Patients With Alcohol-Associated Hepatitis and Acute... by Joseph C. Ahn, Yung-Kyun Noh, Mingzhao Hu, Xiaotong Shen, Vijay H. Shah, Patrick S. Kamath

Get full text

Exploring Factors Influencing Speeding on Rural Roads: A Multivariable Approach by Marija Ferko, Ali Pirdavani, Dario Babić, Darko Babić

Get full text

Scarf Adhesive Bonding of 3D-Printed Polymer Structures by Tiago F. R. Ribeiro, Raul D. S. G. Campilho, Ricardo F. R. Pinto, Ricardo J. B. Rocha

Get full text

Two-Stage Global Biomass Pyrolysis Model for Combustion Applications: Predicting Product Composition with a Focus on Kinetics, Energy, and Mass Balances Consistency by Germán Navarrete Cereijo, Pedro Galione Klot, Pedro Curto-Risso

“…Secondly, kinetic parameters for primary and secondary reactions are determined following a Shafizadeh and Chin scheme but with a modified Arrhenius form dependent on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>T</mi><mi>n</mi></msup></semantics></math></inline-formula>, significantly enhancing the accuracy of product composition prediction. …”
Get full text

A comparison between S-N Logistic and Kohout-Věchet formulations applied to the fatigue data of old metallic bridges materials by Joelton Fonseca Barbosa, José A.F.O. Correia, Pedro Montenegro, Raimundo Carlos Silverio Freire Júnior, Grzegorz Lesiuk, Abílio M.P. De Jesus, Rui A.B. Calçada

Get full text

Evaluating AUC estimators across complex sampling designs: insights from COVID-19 patient data by Amaia Iparragirre, José María Quintana-López, Irantzu Barrio

Get full text

Solid-State Kinetic Investigations of Nonisothermal Reduction of Iron Species Supported on SBA-15 by N. S. Genz, D. Baabe, T. Ressler

Get full text

Modelling of Hybrid Materials and Interface Defects through Homogenization Approach for the Prediction of Effective Thermal Conductivity of FRP Composites Using Finite Element Meth... by C. Mahesh, K. Govindarajulu, V. Balakrishna Murthy

Get full text

Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

Get full text