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Academic Articles & Research Papers
Showing 20 of 739 academic articles
Nan Zheng, Yongchao Cai, Zehua Zhang, Huimin Zhou et al. • Nature Communications
(2025)
Abstract The pursuit of obtaining enzymes with high activity and stability remains a grail in enzyme evolution due to the stability-activity trade-off. Here, we develop an isothermal compressibility-assisted dynamic squeezing index perturba...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41467-025-55944-5
Iain Cockburn, Rebecca M. Henderson, Scott Stern • University of Chicago Press eBooks
(2019)
Artificial intelligence may greatly increase the efficiency of the existing economy. But it may have an even larger impact by serving as a new general-purpose “method of invention” that can reshape the nature of the innovation process and t...
OPENALEX
Open Access
DOI: https://doi.org/10.7208/chicago/9780226613475.003.0004
Muhammad Nabeel Asim, Muhammad Nabeel Asim, Ahtisham Fazeel, Ahtisham Fazeel et al. • Frontiers in Medicine
(2022)
Viral-host protein-protein interaction (VHPPI) prediction is essential to decoding molecular mechanisms of viral pathogens and host immunity processes that eventually help to control the propagation of viral diseases and to design optimized...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fmed.2022.1025887
Dino Petrosa, Pamela Haverkamp, Jana Gerta Backes, David Crampen et al. • Discover Sustainability
(2025)
Abstract The construction sector significantly contributes to environmental issues and often relies on Life Cycle Assessment (LCA) for the quantification and optimization of its environmental impacts. One of the most time- and labour-intens...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43621-025-02203-8
Jian Zhao, Haixia Li, Jing Qu, Jing Qu et al. • Frontiers in Genetics
(2024)
DNA methylation indicates the individual’s aging, so-called Epigenetic clocks, which will improve the research and diagnosis of aging diseases by investigating the correlation between methylation loci and human aging. Although this discover...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fgene.2024.1393856
Young Joo Yang, Chang Seok Bang • World Journal of Gastroenterology
(2019)
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization...
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cc-by-nc
DOI: https://doi.org/10.3748/wjg.v25.i14.1666
PMC: 6465941
Mohamed Yassine Samiri, Mehdi Najib, Abdelaziz Elfazziki, Mohamed Nezar Abourraja et al. • IEEE Access
(2017)
Risk evaluation of the containers remains a difficult task, often due to incomplete or ambiguous information on containers. In addition, the evaluation process needs to be adapted on an ongoing basis to cope with emerging risk factors. Furt...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2017.2746838
Omneya Attallah • Applied Sciences
(2023)
Cervical cancer, among the most frequent adverse cancers in women, could be avoided through routine checks. The Pap smear check is a widespread screening methodology for the timely identification of cervical cancer, but it is susceptible to...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app13031916
Ebtisam AlJalaud, Manar Hosny • Mathematics
(2024)
The ‘black box’ nature of machine learning (ML) approaches makes it challenging to understand how most artificial intelligence (AI) models make decisions. Explainable AI (XAI) aims to provide analytical techniques to understand the behavior...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math12233727
Renjie Wang, Wei Dong Pan, Lei Jin, Yuehan Li et al. • Reproduction
(2019)
Artificial intelligence (AI) has experienced rapid growth over the past few years, moving from the experimental to the implementation phase in various fields, including medicine. Advances in learning algorithms and theories, the availabilit...
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cc-by
DOI: https://doi.org/10.1530/rep-18-0523
PMC: 6733338
Heather Marriott, Renata Kabiljo, Guy P Hunt, Ahmad Al Khleifat et al. • Acta Neuropathologica Communications
(2023)
Abstract Amyotrophic lateral sclerosis (ALS) displays considerable clinical and genetic heterogeneity. Machine learning approaches have previously been utilised for patient stratification in ALS as they can disentangle complex disease lands...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s40478-023-01686-8
Muhammad Aamir, Ziaur Rahman, Uzair Aslam Bhatti, Waheed Ahmed Abro et al. • Scientific Reports
(2025)
Abstract The precise and timely diagnosis of brain tumors is essential for accelerating patient recovery and preserving lives. Brain tumors exhibit a variety of sizes, shapes, and visual characteristics, requiring individualized treatment s...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-02209-2
Anantaya Timtong, Atthaphon Ariyarit, Wanwanut Boongsood, Prasert Aengchuan et al. • Results in Engineering
(2024)
This research evaluates the use of artificial intelligence to enhance the accuracy of predictions for mixed-mode I/III fracture toughness in polymethyl methacrylate . Traditionally, assessing fracture toughness relies heavily on destructive...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.rineng.2024.103289
Chengjie Zheng, Thomas V. Johnson, Aakriti Garg Shukla, Michael Vincent Boland • Current Opinion in Ophthalmology
(2018)
PURPOSE OF REVIEW: The use of computers has become increasingly relevant to medical decision-making, and artificial intelligence methods have recently demonstrated significant advances in medicine. We therefore provide an overview of curren...
OPENALEX
DOI: https://doi.org/10.1097/icu.0000000000000552
Zachi Itzhak Attia, David Harmon, Elijah Raphael Behr, Paul A. Friedman • European Heart Journal
(2021)
Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the ECG,...
OPENALEX
Open Access
DOI: https://doi.org/10.1093/eurheartj/ehab649
PMC: 8500024
Ran Zhang, Xiaoping Wu, Xude Zhang, Li Xu • IEEE Access
(2025)
With the rapid development of information technology, personalized education has become a key direction for improving the quality of online learning and optimizing individualized learning paths. However, accurately recommending appropriate ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3576878
Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang et al. • IEEE Access
(2024)
In the large-scale deployment of federated learning (FL) systems, the heterogeneity of clients, such as mobile phones and Internet of Things (IoT) devices with different configurations, constitutes a significant problem regarding fairness, ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3475737
• Health Equity
(2023)
The practices of contemporary clinical decision-making and care rely heavily on racial biological essentialism, which is a set of ideas originating in modern science that describes populations as comprising distinct subpopulations with uniq...
DOAJ
Open Access (DOAJ)
DOI: 10.1089/HEQ.2023.29038.MMO
Khaled Moghalles, Zaid Al-Huda, Dalal AL-Alimi, Yeong Hyeon Gu et al. • Scientific Reports
(2025)
Abstract The automated segmentation of buildings from remotely sensed imagery has undergone extensive research and application across various industrial domains. Despite this, several challenges persist, including incomplete internal extrac...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-13890-8
Yu Wang • Discover Artificial Intelligence
(2026)
Abstract Adaptive digital therapies are needed with increasing rates of youth anxiety. However, existing systems lack personalization and dynamic learning. To solve this, the proposed research is to build a personalized ideological content ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44163-026-01840-w