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Machine learning in bioinformatics

Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza et al. • Briefings in Bioinformatics (2006)

This article reviews machine learning methods for bioinformatics. It presents modelling methods, such as supervised classification, clustering and probabilistic graphical models for knowledge discovery, as well as deterministic and stochast...

OPENALEX Open Access DOI: https://doi.org/10.1093/bib/bbk007

Machine Learning

Ethem Alpaydın • The MIT Press eBooks (2021)

A concise overview of machine learning—computer programs that learn from data—the basis of such applications as voice recognition and driverless cars. Today, machine learning underlies a range of applications we use every day, from product ...

OPENALEX Open Access DOI: https://doi.org/10.7551/mitpress/13811.001.0001

Resistance to Medical Artificial Intelligence

Chiara Longoni, Andrea Bonezzi, Carey K. Morewedge • Journal of Consumer Research (2019)

Abstract Artificial intelligence (AI) is revolutionizing healthcare, but little is known about consumer receptivity to AI in medicine. Consumers are reluctant to utilize healthcare provided by AI in real and hypothetical choices, separate a...

OPENALEX Open Access DOI: https://doi.org/10.1093/jcr/ucz013

Selection of target-binding proteins from the information of weakly enriched phage display libraries by deep sequencing and machine learning

Tomoyuki Ito, Thuy Duong Nguyen, Yutaka Saito, Yoichi Kurumida et al. • mAbs (2023)

Despite the advances in surface-display systems for directed evolution, variants with high affinity are not always enriched due to undesirable biases that increase target-unrelated variants during biopanning. Here, our goal was to design a ...

DOAJ Open Access (DOAJ) DOI: 10.1080/19420862.2023.2168470

Artificial intelligence and professional roles

Luke Tredinnick • Business Information Review (2017)

2017 promises to be the year that artificial intelligence (AI) moves out of film and fiction and into the workplace. While automation has become commonplace in retail and services, from the ubiquitous uptake of automatic tills to the growin...

OPENALEX DOI: https://doi.org/10.1177/0266382117692621

The Integration of Cone Beam Computed Tomography, Artificial Intelligence, Augmented Reality, and Virtual Reality in Dental Diagnostics, Surgical Planning, and Education: A Narrative Review

Aida Meto, Gerta Halilaj • Applied Sciences (2025)

(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15116308

Bandwagon of artificial intelligence use among media houses in Oyo State, Nigeria

Felix Olajide Talabi, Christiana Shade Ade-johnson, Joseph Moyinoluwa Talabi, Pauline Oghenekaro Adeniran et al. • Humanities & Social Sciences Communications (2025)

Abstract The wave of artificial intelligence (AI) is transforming all spheres of human life. AI is continuously expanding, shaping the future of humanity and raising important ethical and societal implications. Hence, this study explored th...

DOAJ Open Access (DOAJ) DOI: 10.1057/s41599-025-06263-z

CeCILE - An Artificial Intelligence Based Cell-Detection for the Evaluation of Radiation Effects in Eucaryotic Cells

Sarah Rudigkeit, Julian B. Reindl, Nicole Matejka, Rika Ramson et al. • Frontiers in Oncology (2021)

The fundamental basis in the development of novel radiotherapy methods is in-vitro cellular studies. To assess different endpoints of cellular reactions to irradiation like proliferation, cell cycle arrest, and cell death, several assays ar...

DOAJ Open Access (DOAJ) DOI: 10.3389/fonc.2021.688333

Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development

Nishith Reddy Mannuru, Sakib Shahriar, Zoë Abbie Teel, Ting Wang et al. • Information Development (2023)

This paper explores the potential impact of Generative Artificial Intelligence (Generative AI) on developing countries, considering both positive and negative effects across various domains of information, culture, and industry. Generative ...

OPENALEX DOI: https://doi.org/10.1177/02666669231200628

Evolution of strategies in iterated games: a deep multi-agent reinforcement learning approach with hybrid genetic and CMA-ES optimization

ShangJun Li, Avijit Deb Nath, Md. Hadi Al-amin • Frontiers in Artificial Intelligence (2026)

The emergence of cooperation among self-interested agents in social dilemmas remains a central unsolved problem in evolutionary game theory, multi-agent systems, and behavioral science. While memory-one reciprocal strategies such as Tit-for...

DOAJ Open Access (DOAJ) DOI: 10.3389/frai.2026.1844089

Evidence for Dynamical Filtering: High Binary Fraction, Hard-binary Excess, and Unresolved Triples in the Surviving Core of NGC 6791

Huanbin Chi, Zhi Li, Feng Wang, Xuefen Tian et al. • The Astrophysical Journal (2026)

We present a deep photometric analysis of the main-sequence (MS) population in the old, metal-rich open cluster (OC) NGC 6791 using Gaia Data Release 3 data. After correcting for differential reddening, we use the Bayesian model comparison ...

DOAJ Open Access (DOAJ) DOI: 10.3847/1538-4357/ae690f

Evolutionary Grey Wolf Optimizer with Cross-Search and Memory Mechanisms for Complex Optimization Problems

Hoda Zamani, Mohammad H. Nadimi-Shahraki, Seyedali Mirjalili • International Journal of Computational Intelligence Systems (2026)

Abstract —Large-scale engineering optimization problems, characterized by hundreds or thousands of decision variables, complex constraints, and highly nonlinear objective functions, present significant challenges for conventional optimizati...

DOAJ Open Access (DOAJ) DOI: 10.1007/s44196-026-01291-2

Artificial intelligence in nanomedicine

Dean Ho, Peter Wang, Theodore Wonpeum Kee • Nanoscale Horizons (2018)

The field of nanomedicine has made substantial strides in the areas of therapeutic and diagnostic development. For example, nanoparticle-modified drug compounds and imaging agents have resulted in markedly enhanced treatment outcomes and co...

OPENALEX DOI: https://doi.org/10.1039/c8nh00233a

Tailoring industrial enzymes for thermostability and activity evolution by the machine learning-based iCASE strategy

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