Using artificial neural networks to predict the compressive strength of cement and sawdust ash-treated lateritic soil by James Ukpai, Ugochukwu Okonkwo

Get full text

Combining molecular characteristics and therapeutic analysis of PDOs predict clinical responses and guide PDAC personalized treatment by Peng Li, Minli Huang, Mengyao Li, Gen Li, Yifan Ma, Yong Zhao, Xiaowu Wang, Yongbin Zhang, Changhong Shi

Get full text

An Approach for Prediction of Acute Hypotensive Episodes via the Hilbert-Huang Transform and Multiple Genetic Programming Classifier by Dazhi Jiang, Liyu Li, Bo Hu, Zhun Fan

Get full text

AI-based prediction and detection of early-onset of digital dermatitis in dairy cows using infrared thermography by Marcelo Feighelstein, Amir Mishael, Tamir Malka, Jennifer Magana, Dinu Gavojdian, Anna Zamansky, Amber Adams-Progar

Get full text

TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

Get full text

Predicting Landslide Deposit Zones: Insights from Advanced Sampling Strategies in the Ilopango Caldera, El Salvador by Laura Paola Calderon-Cucunuba, Abel Alexei Argueta-Platero, Tomás Fernández, Claudio Mercurio, Chiara Martinello, Edoardo Rotigliano, Christian Conoscenti

Get full text

Analysis of mutations in precision oncology using the automated, accurate, and user-friendly web tool PredictONCO by Rayyan Tariq Khan, Petra Pokorna, Jan Stourac, Simeon Borko, Adam Dobias, Joan Planas-Iglesias, Stanislav Mazurenko, Ihor Arefiev, Gaspar Pinto, Veronika Szotkowska, Jaroslav Sterba, Jiri Damborsky, Ondrej Slaby, David Bednar

“…The tool models the structure of the mutant protein in the first step. …”
Get full text

A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information by Claudia Silva-Andrade, Sergio Hernández, Pedro Saa, Ernesto Perez-Rueda, Daniel Garrido, Alberto J. Martin

Get full text

Explainable Machine Learning to Predict the Construction Cost of Power Plant Based on Random Forest and Shapley Method by Suha Falih Mahdi Alazawy, Mohammed Ali Ahmed, Saja Hadi Raheem, Hamza Imran, Luís Filipe Almeida Bernardo, Hugo Alexandre Silva Pinto

Get full text

The association of Whole and Segmental Body Composition and Anaerobic Performance in Crossfit® athletes: sex differences and performance prediction by Tomás Ponce-García, Jerónimo García-Romero, Laura Carrasco-Fernández, Alejandro Castillo-Dominguez, Javier Benítez-Porres

Get full text

Finite Element and Machine Learning-Based Prediction of Buckling Strength in Additively Manufactured Lattice Stiffened Panels by Saiaf Bin Rayhan, Md Mazedur Rahman, Jakiya Sultana, Szabolcs Szávai, Gyula Varga

Get full text

AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses by Saram Abbas, Rishad Shafik, Naeem Soomro, Rakesh Heer, Rakesh Heer, Kabita Adhikari

Get full text

Predicting immunotherapy response of advanced bladder cancer through a meta-analysis of six independent cohorts by Lilian Marie Boll, Sergio Vázquez Montes de Oca, Marta E. Camarena, Robert Castelo, Joaquim Bellmunt, Júlia Perera-Bel, M. Mar Albà

Get full text

MVHGCN: Predicting circRNA-disease associations with multi-view heterogeneous graph convolutional neural networks. by Yan Miao, Xuan Tang, Chunyu Wang, Zhenyuan Sun, Guohua Wang, Shan Huang

Get full text

The Choice of Funding Sources for Start-Ups in a Transitional Economy: The Ability to Predict in a National Context  by Olga Obraztsova, Tatiana Poliakova, Ekaterina Popovskaya

Get full text

Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

Get full text

Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study. by Elodie Germani, Nikhil Bhagwat, Mathieu Dugré, Rémi Gau, Albert A Montillo, Kevin P Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard

Get full text

Predicting maintenance lithium response for bipolar disorder from electronic health records—a retrospective study by Joseph F. Hayes, Fehmi Ben Abdesslem, Sandra Eloranta, David P. J. Osborn, Magnus Boman

Get full text

Computational analysis of ABL kinase mutations allows predicting drug sensitivity against selective kinase inhibitors by Swapna Kamasani, Sravani Akula, Sree Kanth Sivan, Vijjulatha Manga, Justus Duyster, Dashavantha Reddy Vudem, Rama Krishna Kancha

Get full text

A new nomogram for predicting 90-day outcomes of intravenous thrombolysis in patients with acute ischaemic stroke by Yingjie Zhao, Rui Zhang, Pan Li, Zhen Zhang, Huan Yu, Zhaoya Su, Yandong Xia, Aiguo Meng

Get full text