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BioMedInformatics, Volume 6, Issue 2

2026 April - 13 articles

Cover Story: Artificial intelligence (AI) is transforming corneal drug delivery by addressing the limitations of conventional topical therapies, which suffer from rapid clearance and low bioavailability. This review highlights how machine learning models optimize formulations, predict key quality attributes, and estimate ocular permeability, retention, and safety. AI-integrated mechanistic pharmacokinetic models further enable the prediction of tissue exposure, while inverse design approaches support the development of novel carriers and smart delivery devices. Despite promising advances, challenges such as limited data, lack of validation, and model interpretability remain. This review outlines current progress and key priorities for advancing reliable AI-driven corneal therapeutics. View this paper
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Articles (13)

  • Review
  • Open Access
3,064 Views
26 Pages

Morocco, facing a growing prevalence of chronic diseases such as diabetes, hypertension, and cardiovascular diseases, must overcome significant challenges to modernize its healthcare system. In this context, the integration of digital technologies, i...

(This article belongs to the Section Applied Biomedical Data Science)
  • Systematic Review
  • Open Access
1 Citations
2,081 Views
25 Pages

Background: Emergency triage systems using machine learning traditionally rely on structured tabular data (vital signs), creating a “contextual blind spot” that ignores diagnostic information embedded in unstructured clinical narratives....

  • Review
  • Open Access
1 Citations
2,209 Views
21 Pages

Artificial Intelligence in MRI-Based Glioma Imaging: From Radiomics-Based Machine Learning to Deep Learning Approaches

  • Ammar Saloum,
  • Israa Zaher,
  • Christian Stipho,
  • Enes Demir and ,
  • Varun Naravetla,
  • Mehrdad Pahlevani,
  • Nasser Yaghi and
  • Michael Karsy
  • + 3 authors+ 0 author

Gliomas are generally readily detected and broadly characterized using conventional MRI; however, substantial challenges remain in accurately delineating tumor extent, grading heterogeneous disease, and translating imaging findings into consistent, r...

  • Article
  • Open Access
4 Citations
3,236 Views
25 Pages

An Interpretable Deep Learning Approach for Brain Tumor Classification Using a Bangladeshi Brain MRI Dataset

  • Md. Saymon Hosen Polash,
  • Md. Tamim Hasan Saykat,
  • Md. Ehsanul Haque,
  • Md. Maniruzzaman and ,
  • Mahe Zabin and
  • Jia Uddin
  • + 1 author+ 0 author

Magnetic resonance imaging (MRI) is a critical clinical tool that requires precise and reliable interpretation for effective brain tumor diagnosis and timely treatment planning. Deep learning methods have advanced automated tumor classification great...

  • Review
  • Open Access
1,443 Views
17 Pages

Artificial Intelligence in Cardiovascular Pathology: Toward a Diagnostic Revolution

  • Andrea Marzullo,
  • Andrea Quaranta,
  • Gerardo Cazzato and
  • Cecilia Salzillo

Artificial intelligence (AI) in cardiovascular pathology involves the use of computational models, including machine learning and deep learning (DL), to analyse complex and heterogeneous data. These data include histopathological whole-slide images,...

  • Article
  • Open Access
1 Citations
1,505 Views
26 Pages

Machine Learning-Based Prediction of Mortality in Geriatric Traumatic Brain Injury Patients

  • Yong Si,
  • Junyi Fan,
  • Li Sun,
  • Shuheng Chen and ,
  • Elham Pishgar,
  • Kamiar Alaei,
  • Greg Placencia and
  • Maryam Pishgar
  • + 3 authors+ 0 author

Traumatic Brain Injury (TBI) is a major contributor to mortality among older adults, with geriatric patients facing disproportionately high risk due to age-related physiological vulnerability and comorbidities. Early and accurate prediction of mortal...

  • Article
  • Open Access
2,154 Views
25 Pages

Postoperative stroke is a serious and fatal condition that often affects elderly surgical patients. This rare but severe complication arises from complex interactions between comorbidities, physiologic instability and demographic disturbances that tr...

(This article belongs to the Section Applied Biomedical Data Science)
  • Article
  • Open Access
1,561 Views
12 Pages

Evaluation of the ‘qXR’ Software for the Detection of Pulmonary Nodules, Cardiomegaly and Pleural Effusion: A Comparative Analysis in a Latin American General Hospital

  • Adriana Anchía-Alfaro,
  • Sebastián Arguedas-Chacón,
  • Georgia Hanley-Vargas,
  • Sofía Suárez-Sánchez and ,
  • Luis Andrés Aguilar-Castro,
  • Sergio Daniel Seas-Azofeifa,
  • Kal Che Wong Hsu,
  • Diego Quesada-Loría,
  • María Felicia Montero-Arias and
  • Esteban Zavaleta-Monestel
  • + 6 authors+ 1 author

Background/Objectives: AI-based tools for chest radiograph interpretation are increasingly used as decision-support systems, yet their performance must be validated in local clinical environments before deployment. This study evaluated the diagnostic...

  • Article
  • Open Access
1,406 Views
20 Pages

Background: Collagen type V alpha 2 (COL5A2) is an important regulator of tumor progression and metastasis in various tumors. microRNAs (miRNAs), key post-transcriptional regulators of gene expression, can act as tumor suppressors or oncogenes. Dysre...

  • Review
  • Open Access
2 Citations
2,571 Views
33 Pages

Language Models and Food–Health Evidence: Challenges, Opportunities, and Implications

  • David Jackson,
  • Athanasios Gousiopoulos and
  • Theodoros G. Soldatos

Scientific evidence is fundamental to uncovering insights about health, including food and nutritional claims. Substantiating such claims requires robust scientific procedures that often include clinical studies, biochemical analyses, and the examina...

  • Article
  • Open Access
1 Citations
1,825 Views
18 Pages

Background: Parkinson’s disease is a progressive neurodegenerative disorder. Early PD detection plays a key role in effective therapy. Electroencephalography is a neuroimaging technique used to analyze brain abnormalities, such as those seen in...

(This article belongs to the Section Methods in Biomedical Informatics)
  • Review
  • Open Access
4 Citations
3,629 Views
31 Pages

Artificial Intelligence in Corneal Drug Delivery Systems

  • Amirhosein Panjipour,
  • Soheil Sojdeh,
  • Zohreh Arabpour and
  • Ali R. Djalilian

Conventional topical therapy for corneal and anterior segment diseases is limited by rapid tear clearance and multilayer corneal barriers, resulting in low bioavailability and the need for frequent dosing. Artificial intelligence (AI) is emerging as...

(This article belongs to the Topic Artificial Intelligence and Big Data in Biomedical Engineering)
  • Editorial
  • Open Access
1 Citations
1,953 Views
13 Pages

BioMedInformatics is an international, peer-reviewed, open access journal that covers all areas of biomedical informatics, computational biology, and medicine. Established in 2021, the journal is now five years old and reflects the evolution of the f...

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BioMedInformatics - ISSN 2673-7426