Engineering artificial photosynthetic life-forms through endosymbiosis by Jay Cournoyer, Sarah D. Altman, Yang-le Gao, Catherine L. Wallace, Dianwen Zhang, Guo-Hsuen Lo, Noah T. Haskin, Angad P. Mehta

Get full text

Artificial intelligence artificial muscle of dielectric elastomers by Dongyang Huang, Jiaxuan Ma, Yubing Han, Chang Xue, Mengying Zhang, Weijia Wen, Sheng Sun, Jinbo Wu

“…To expedite the research and development of dielectric elastomer AM materials and beyond, we propose leveraging artificial intelligence tools to transform the artificial intelligence muscle research paradigm. …”
Get full text

Comparative evaluation of an AI-powered life coach against traditional coaching methods by David Brown, Marlene Orozco, Noah Lloyd

Subjects: Get full text

Efficacy of an artificial intelligence preoperative planning system for assisting in revision surgery after artificial total hip arthroplasty by Jiaqing Zhu, Shanbin Zheng, Jiahao Sun, Bowen Ma, Chiyu Zhang, Chao Zhang, Jirong Shen, Tianwei Xia

“…Abstract Objective To explore the early efficacy of an artificial intelligence preoperative planning system (AIHIP system) for assisting in hip revision surgery. …”
Get full text

Philosophical Review of Artificial Intelligence for Society 5.0 by Ggaliwango, Marvin, Tamale, Micheal, Kanagwa, Benjamin, Jjingo, Daudi

“…Artificial intelligence has come a long way since its inception 60 years ago, and it continues to evolve and change the world in ways we couldn’t have imagined. …”
Get full text

Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment by Marc Teunis, Thomas Luechtefeld, Thomas Hartung, Thomas Hartung

Get full text

APPLICATION OF ARTIFICIAL INTELLEGENCE ALGORITHMS TO CONTROL THE USE OF FLOOD-PRONE AREAS by Konstantin A. Kurganovich, Andrey V. Shalikovskiy, Maksim A. Bosov, Denis V. Kochev

“…This article examines the possibility of using artificial intelligence tools to analyze the use of territories prone to flooding during floods. …”

Artificially intelligent nursing homes: a scoping review of palliative care interventions by Isabel Ronan, Sabin Tabirca, Sabin Tabirca, David Murphy, Nicola Cornally, Mohamad M. Saab, Patrice Crowley

“…Palliative care can improve the quality of life of nursing home residents. Artificial Intelligence can be used to improve palliative care services. …”
Get full text

Recent progress of artificial cells in structure design, functionality and the prospects in food biotechnology by Li Li, Xiaolin Yao, Guoliang Li, Qianqian Guo, Juan Yue, Wenguang Liu, Yapeng Fang, Adam Midgley, Mouming Zhao, Katsuyoshi Nishinari

Get full text

Review Of The Application Of Artificial Intelligence (AI) Exercise Training In Improving Cognitive Function In The Elderly Population by Tingran Zhang, mufan Zhang, Jiong Luo

“… With the increasing cognitive dysfunction of the elderly and the incidence rate of dementia caused by aging, in recent years, many countries have studied and applied artificial intelligence (AI) to reduce the pressure on caregivers and improve the quality of life of dementia patients. …”
Get full text

Genetic parameters and parental and early-life effects of boar semen traits by Pedro Sá, Rodrigo M. Godinho, Marta Gòdia, Claudia A. Sevillano, Barbara Harlizius, Ole Madsen, Henk Bovenhuis

“…Abstract Background The objectives of this study were to estimate genetic parameters and studying the influence of early-life and parental factors on the semen traits of boars. …”
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

“…Abstract Breast cancer is a leading cause of mortality among women, with recurrence prediction remaining a significant challenge. In this context, artificial intelligence application and its resources can serve as a powerful tool in analyzing large amounts of data and predicting cancer recurrence, potentially enabling personalized medical treatment and improving the patient’s quality of life. …”
Get full text

Investigating Two-dimensional Horizontal Mesh Grid Effects on the Eulerian Atmospheric Transport Model Using Artificial Neural Network by Amine Ajdour, Brahim Ydir, Houria Bouzghiba, Ishaq Dimeji Sulaymon, Anas Adnane, Dris Ben Hmamou, Kenza Khomsi, Jamal Chaoufi, Gábor Géczi, Radouane Leghrib

Get full text

Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

Get full text

Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

“…In the developing world, the daily activities of humans’ social, political and economic life make it vital and easy to encounter the phenomenon of crime. …”
Get full text

AN AUTOMATED SKIN DISEASE DIAGNOSTIC SYSTEM BASED ON DEEP LEARNING MODEL by LAWRENCE OMOTOSHO, KEHINDE SOTONWA, BENJAMIN ADEGOKE, OLUWASHINA OYENIRAN, JOSHUA OYENIYI

Get full text

Revealing the flavor differences of Sauvignon Blanc wines fermented in different oak barrels and stainless-steel tanks through GC-MS, GC-IMS, electronic, and artificial sensory ana... by Taoxian Zhang, Zusong Liao, Zhaohui Li, Yunqi Liu, Jingying Bi, Yanlin Liu, Yuyang Song, Yi Qin

Get full text

Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications by Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya

“…Furthermore, artificial intelligence-driven identification of biomarkers and patient subgroups could improve FMS management. …”
Get full text

A study comparing energy consumption and environmental emissions in ostrich meat and egg production by Behrooz Behboodi, Mohammad Gholami Parashkoohi, Davood Mohammad Zamani, Saeed Firouzi

“…Artificial neural network (ANN) analysis indicates that optimizing machinery, diesel fuel, and energy usage can enhance the productivity of meat production. …”
Get full text

Toward spatial glycomics and glycoproteomics: Innovations and applications by Patcharaporn Boottanun, Sayaka Fuseya, Atsushi Kuno

Get full text