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Showing 16 of 196 academic articles

Development of Anticancer Peptides Using Artificial Intelligence and Combinational Therapy for Cancer Therapeutics

Ji Su Hwang, Seok Gi Kim, Tae Hwan Shin, Yong Eun Jang et al. • Pharmaceutics (2022)

Cancer is a group of diseases causing abnormal cell growth, altering the genome, and invading or spreading to other parts of the body. Among therapeutic peptide drugs, anticancer peptides (ACPs) have been considered to target and kill cance...

DOAJ Open Access (DOAJ) DOI: 10.3390/pharmaceutics14050997

Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size

Guangyu Zhu, Xueqi Luo, Tingting Yang, Li Cai et al. • Frontiers in Physiology (2022)

The manual identification and segmentation of intracranial aneurysms (IAs) involved in the 3D reconstruction procedure are labor-intensive and prone to human errors. To meet the demands for routine clinical management and large cohort studi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphys.2022.1084202

Towards deep learning with segregated dendrites

Jordan Guerguiev, Timothy Lillicrap, Blake A. Richards • eLife (2017)

Deep learning has led to significant advances in artificial intelligence, in part, by adopting strategies motivated by neurophysiology. However, it is unclear whether deep learning could occur in the real brain. Here, we show that a deep le...

OPENALEX cc-by DOI: https://doi.org/10.7554/elife.22901 PMC: 5716677

Machine Learning and Data Mining Methods in Diabetes Research

Ioannis Kavakiotis, O. Tsave, Athanasios Salifoglou, Nicos Maglaveras et al. • Computational and Structural Biotechnology Journal (2017)

The remarkable advances in biotechnology and health sciences have led to a significant production of data, such as high throughput genetic data and clinical information, generated from large Electronic Health Records (EHRs). To this end, ap...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.csbj.2016.12.005 PMC: 5257026

A 9-mRNA signature measured from whole blood by a prototype PCR panel predicts 28-day mortality upon admission of critically ill COVID-19 patients

Claire Tardiveau, Claire Tardiveau, Guillaume Monneret, Guillaume Monneret et al. • Frontiers in Immunology (2022)

Immune responses affiliated with COVID-19 severity have been characterized and associated with deleterious outcomes. These approaches were mainly based on research tools not usable in routine clinical practice at the bedside. We observed th...

DOAJ Open Access (DOAJ) DOI: 10.3389/fimmu.2022.1022750

Contribution of model organism phenotypes to the computational identification of human disease genes

Sarah M. Alghamdi, Paul N. Schofield, Robert Hoehndorf • Disease Models & Mechanisms (2022)

Computing phenotypic similarity helps identify new disease genes and diagnose rare diseases. Genotype–phenotype data from orthologous genes in model organisms can compensate for lack of human data and increase genome coverage. In the past d...

DOAJ Open Access (DOAJ) DOI: 10.1242/dmm.049441

Fatigue Monitoring Through Wearables: A State-of-the-Art Review

Neusa R. Adão Martins, Neusa R. Adão Martins, Simon Annaheim, Christina M. Spengler et al. • Frontiers in Physiology (2021)

The objective measurement of fatigue is of critical relevance in areas such as occupational health and safety as fatigue impairs cognitive and motor performance, thus reducing productivity and increasing the risk of injury. Wearable systems...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphys.2021.790292

Towards a physics informed digital twin to predict cerebral blood flow and cerebral vascular regulation

Jennifer K. Briggs, J. N. Stroh, Soojin Park, Brandon Foreman et al. • npj Digital Medicine (2026)

Abstract Cerebral blood flow is essential for brain function and is governed by cerebral perfusion pressure and physiological mechanisms collectively referred to as cerebral vascular regulation (CVR). Direct measurement of cerebral blood fl...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-026-02600-x

Machine learning-derived prediction of in-hospital mortality in patients with severe acute respiratory infection: analysis of claims data from the German-wide Helios hospital network

Johannes Leiner, Vincent Pellissier, Sebastian König, Sven Hohenstein et al. • Respiratory Research (2022)

Abstract Background Severe acute respiratory infections (SARI) are the most common infectious causes of death. Previous work regarding mortality prediction models for SARI using machine learning (ML) algorithms that can be useful for both i...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12931-022-02180-w

Artificial intelligence

Akshar Joshi, Gautam Mishra • International Conference & Workshop on Emerging Trends in Technology (2010)

In this paper, we will explore the magic of giving the power of thinking to man--made machines, i.e. Artificial Intelligence which is involved in many fields of electronics and computers. In 1956, John McCarthy who coined the term of Artifi...

OPENALEX DOI: https://doi.org/10.1145/1741906.1742236

Precision Microalgae: A New Conceptual Framework for Bioengineering Applications

Darissa Alves Dutra, Richard Luan Silva Machado, Mariany Costa Deprá, Adriane Terezinha Schneider et al. • Bioengineering (2026)

Microalgae are promising platforms for biomass production, carbon capture, biofuels, and high-value bioproducts. However, despite significant advances in cultivation technologies, reactor engineering, and metabolic engineering, industrial i...

DOAJ Open Access (DOAJ) DOI: 10.3390/bioengineering13091011

Examination of medical students’ opinions on multimedia learning materials according to social cues: focusing on sound principles

Wonseok Chang, Yura Kim, Hye Jin Park • Korean Journal of Medical Education (2024)

Purpose Although interest in various forms of learning media is increasing due to the coronavirus disease 2019 (COVID-19) pandemic there is relatively little research on influencing student motivation by intervening in cognitive processing....

DOAJ Open Access (DOAJ) DOI: 10.3946/kjme.2024.288